Location:
Remote:
Willing to relocate:
Technologies:
Résumé/CV:
Email:
Readers: please only email these addresses to discuss work opportunities.
Searchers: try https://nthesis.ai/public/hn-wants-to-be-hired, https://www.wantstobehired.com.
Remote: Yes
Willing to relocate: Yes
Technologies: JavaScript, Cloudflare Workers, LLM integration, JSDoc
Résumé/CV: kol3x.com
Email: hackernews@kol3x.com
I started as a fullstack JS engineer and grew into product development at my last company. I owned the ingestion layer - collecting 100k relevant messages/month from 4 platforms through a dirt-cheap serverless back-end on Cloudflare Workers.
We worked with LLMs deeply, especially in code generation. I was part of a small team developing SpecGEM, a fine-tuned model that generates Cloudflare Workers code from JSDoc comments and is designed to outperform mainstream LLMs at this narrow task.
I just released an open-source self-hosted LLM assistant on Cloudflare Workers that predictably compounds context across conversations. https://github.com/kol3x/pawmc
Looking for a remote role where I can own work end-to-end. Stack-wise I'm strongest on Cloudflare Workers, JavaScript, and practical LLM integration.
CV, LinkedIn, and GitHub are also linked at https://kol3x.com
Remote: Yes
Willing to relocate: No
Technologies: Python, web scraping and data extraction, ETL pipelines, Playwright, BeautifulSoup, Tesseract OCR, PostgreSQL, SQLite, pytest, GitHub Actions, Astro, Cloudflare Pages, C / ESP-IDF, NumPy
Résumé/CV: https://braedenkeena.pages.dev
Email: braeden@thekeenas.com
I build data pipelines that know when they're lying to you.
GAScout (https://gascout.pages.dev) — Georgia public-records pipeline. Four counties live, each a different ingestion problem resolved into one schema: a 9,915-page fixed-width mainframe PDF (409,142 records, zero dropped rows), a weekly XLSX roll, monthly text PDFs, and scanned sheriff's levy documents via OCR. Adding a county is a config file, not code. The other 155 are labeled planned rather than filled with invented numbers.
FindStorage (https://findstorage.pages.dev) — national self-storage pricing tracker. 4,639 locations, 245,000+ price changes logged, running unattended on a daily schedule. Aborts rather than publishing when the store count moves more than it should, because the failure that costs you isn't a crash — it's a scraper quietly returning less after a site changes and nobody noticing for three weeks.
Also built a WiFi CSI device-fingerprinting array on ESP32 — custom ESP-IDF firmware and a Python DSP pipeline, running as my apartment's security system. Cross-manufacturer separation holds at 11-15 sigma; same-model discrimination tops out near 77% and true clock twins are the open problem.
Before this I ran a 500-acre motocross park in Northern California: acquired dormant land, re-entitled it, directed a 120-person race-day crew, ran the medical plan through a mid-event helicopter evacuation, and sold my stake.
Self-taught, ~18 months in. Interested in data engineering, pipeline work, and anything where messy real-world sources have to become trustworthy structured data.
Remote: Yes, or hybrid if nearby
Willing to relocate: Possibly
Technologies: Python, Ruby, C, C++, C#, JavaScript, TypeScript, PowerShell, Flask, SQL, PostGIS, Shapely, Unity, Unreal Engine, multiple assembly/machine languages, Windows user code and kernel drivers, Google Maps and other map APIs, geographic and airspace data
Résumé/CV: https://www.geary.com/resume.html or https://www.geary.com/resume.pdf and https://www.linkedin.com/in/michaelgeary/
Email: mike@geary.com
Hi, I'm Michael Geary. I've programmed in many languages and environments over the years. Some of my current interests are:
• Developer experience. I love helping my fellow developers solve problems, and building tools to make their jobs easier and more enjoyable.
• Aviation and geographic data. For example, airspace and obstacle data importers for Wing; election results and voter information maps for Google; many interactive maps for other companies.
• Hardware interfacing. In a way, I am a "full stack" developer, but my stack may involve a front end to a piece of hardware rather than the cloud. I first got into programming via ham radio, so RF hardware remains an interest.
• Designing and building APIs. Too often an API is designed by exposing the internals of whatever system provides the API. My philosophy is the opposite: start with the apps. I like to build a series of sample apps before starting on the API. This way I can imagine what API will make those apps and others like them easy to build.
• Talk with users! I don't like to sit in a back room cranking out code. I want to make sure it's the right code for what my users need, and that it's easy to maintain and improve as we learn more about what they want.
Open to full time or contract.
I look forward to talking with you!
Technologies: Agentic Engineering (Claude, Codex, Cohere, Voyage, Mistral, LangChain, LanceDB, LLaMA, Mistral), C/C++/Rust/Node/Typescript/React/Python, Azure/AWS/Docker/K8S, DevOps tooling, ML/BigData/Search tooling ... and much more
Résumé/CV: https://www.artifixsolutions.com?sid=hn202608. Email: lajos [@] artifixsolutions.com
WHO: Technology Polymath. Agentic context & harness engineering.
WHAT: Whether human or AI built, I know how systems break. I build them so they don't. After three decades of battle-tested experience there isn't a failure mode I don't know how to fix. When it comes to AI, I design and architect systems using my own rigorous engineering approach that insures consistent delivery and drift control.
SAMPLE WORK:
** Recent agentic builds:
- multi-server streaming service (NodeJS, Typescript, Postgres, Claude Code, Codex, custom agentic harness)
- DevOps deployment tooling (Terraform, CI/CD)
- DevOps observability platform with RAG pipelines (InfluxDB, LangChain, Claude CodePython, NodeJS)
- RAG ebook build pipeline for a publishing company (Cohere, OpenAI, Voyage, Mistral, LanceDB, LLaMA)
** API-enabled SaaS platform using Solana smart contracts (Rust, Codex)
** AI-built mobile & desktop app development (NodeJS, React, C++/QT)
** Azure architecture & DevOps for a banking compliance company
** Ethereum L1 packer-based automation
** Global multi-cloud, Kubernetes-based PaaS cloud design and DevOps for an IoT data platform
** Custom architecture & development for startups and specialised cloud models
Full-stack engineer, 8 years, front-end deep, CET. I take over live systems and restructure them without stopping the roadmap. At Jebbit (L'Oreal, AutoZone, NFL, ~1M sessions/hour) I led a four-month refactor that replaced a per-row style override system with one merged JSON schema, backwards compatible with both running in parallel. Currently on a consumer AI product where I own features end to end and took page load from 3s to 1.5s and a deep component from ~300 re-renders to ~10.
AI-native: I don't hand-write much anymore, I spec work and drive agents against it, and spend my time on judgment and review. Claude Code and Cursor daily.
I built and operate a 106k+ LOC production SaaS on Next.js 15, Supabase and Stripe — solo. Zero "any" types in the whole codebase, 743 passing tests.
What I'm actually good at is the part that breaks after launch: the webhook replay, the downgrade that never revokes access, the export gated only in the browser, the URL fetch that can reach your metadata endpoint. I've put my own codebase through repeated adversarial audits and can share a redacted report — real findings, real severities, subject anonymised.
Available ~20-30 hrs/week, UTC+0 — good overlap with European hours and US mornings. Contract or fixed-scope. I also do fixed-price pre-launch audits (security, billing correctness, data exposure) if that's more useful than hourly.
Location: Vermont, USA
Remote: Yes (open to travel)
Willing to relocate: No
Technologies: TypeScript, Node.js/Deno, PostgreSQL, Redis, AWS, React, Elasticsearch, Databricks/Spark, FFmpeg
Résumé/CV: https://en.masher.media/about.html
Email: hn.57@masher.media
I’ve spent about half my time in first/founding engineer roles at startups, and half working directly for clients, agencies, and institutions on a wide variety of products. Folks enjoy my enthusiasm for their ideas and my ability to meet them where they are technically, always providing that extra context that builds trust and understanding.
I’m comfortable owning concerns end-to-end, from initial scoping and architectural tradeoffs through deployment of functional prototypes and user testing. I enjoy iterating and scaling systems from there, while building teams to maintain and build upon them.
Expertise in database design, media rendering systems, engagement platforms, high-volume event ingestion, ML pipelines, and getting it all working in AWS. Top priorities are data integrity, security, and privacy.
Lean on me for:
- Technical scoping and planning for a new product or platform before committing resources
- Architectural review and data modeling to see how a system should flow and which tradeoffs matter
- Greenfield builds where you need someone to plan and ship v1 without much hand-holding
- Forward-deployed engineering, working directly with potential customers to help guide the product
Pragmatic about LLMs: effective for exploration, debugging, documentation, and tightly scoped implementation work when paired with strong engineering judgment and rigid testing.
Remote: Yes
Willing to relocate: No
Technologies: TypeScript, JavaScript, Angular, RxJS, React, Web Components (Lit), Node.js, PostgreSQL, AWS, Docker, GitHub Actions, Playwright, Jest, Vitest
Résumé/CV: https://martomo.nl/Martijn-Dijkhuizen-CV_2026.pdf
LinkedIn: https://www.linkedin.com/in/martijndijkhuizen/
Email: hello@martomo.nl
--------------
A passionate problem solver with over fifteen years of experience, currently a founding engineer at a self-funded startup building a design and prototyping tool. Before that, I worked mainly as a full-stack engineer at SaaS companies.
Problem solving for me does not stop at the product/code, I'm always finding ways to improve the development process or help colleagues get unstuck by mentoring and coaching. Also I'm not afraid to learn a new programming language/framework or to dive into the infrastructure.
Are you looking for a seasoned, product-oriented software engineer who cares about user experience and can drive a feature from idea to implementation?
I've been working for equity and now I'm looking for a full-time, long-term remote role that pays. Preferably with a SaaS company working in European time zones (CET/CEST +/- 2 hours).
Location: Brazil at the moment, nomadic
Remote: Yes
Willing to relocate: Maybe
Technologies: PyTorch, Deep Learning, LLM, Diffusion models, NumPy, JAX (a bit), CUDA, C/C++ | SvelteKit, TypeScript, tailwind, drizzle | Linux (25 years), AWS, Docker, yada, yada, common sense
CV: https://alexey.work/cv?ref=49156682
Email: alexey.zaytsev@gmail.com
I fluctuate between:
- Deep learning / Neural networks - from architecture to inference. You might have used my ♥ Lovely Tensors library if you work with PyTorch (or JAX). Some CUDA, pytorch profiler, etc.
https://github.com/xl0/lovely-tensors https://github.com/xl0/lovely-jax https://github.com/xl0/lovely-numpy
https://github.com/xl0/tidygrad https://github.com/xl0/latent-tools https://github.com/xl0/nvml-tool
- Full-stack AI-adjacent applications - the usual LLM API tool-calling "agentinc" AI + full-stack web, ideally with SvelteKit (typescript, tailwind, shadcn, drizzle, etc).
https://chat.congusto.ai/chat https://lovely-docs.github.io https://pelican.alexey.work/gallery
In my past lives: Linux kernel development, Molecular Biology Masters degree, Electronics engineering in Shenzhen: https://alexey.work/cv?ref=49156682&view=full
Remote: Yes (Worldwide)
Willing to relocate: No
Technologies: Angular, Java, Spring Boot, REST APIs, LLM Engineering, Microservices, TypeScript, JavaScript, React, Node.js, SQL, AWS (EC2, S3), Git, CI/CD, Playwright, JUnit, AI Agents, RAG, MCP, Power Platform
Resume: https://drive.google.com/file/d/1VS9YQ6Hvz3Pw62RSjwQa7fe-Imy...
GitHub: https://github.com/harshvardhan-vhatkar
LinkedIn: https://www.linkedin.com/in/harshvardhan-vhatkar/
Email: harshuvhatkar@gmail.com
Software Engineer with 3+ years of experience building frontend applications, backend services, automated testing pipelines, and AI-powered developer tools. At my current company, I've improved Angular applications, built Spring Boot microservices with 100% unit test coverage, automated Playwright regression testing (reducing execution time from 2 hours to 30 minutes), and developed an AI-powered MCP server that generates Playwright tests from natural language, reducing test authoring from 45 minutes to under 2 minutes per spec. I enjoy building products end-to-end rather than working on isolated tickets. Recently I've been focused on AI developer tooling, RAG pipelines, MCP servers, and LLM-powered automation alongside traditional backend development. Some highlights:
• Spring Boot microservices and REST APIs • Angular, React, Next.js, Node.js • AI Agents, MCP, RAG pipelines, vector databases • Playwright automation and developer productivity tools • AWS, CI/CD, SQL
I'm looking for a remote backend, full-stack, or AI engineering role where I can own features, work closely with a product team, and build software that ships to users. Startups and product companies are especially interesting.
If you're looking for an engineer who enjoys solving problems, automating repetitive work, and shipping production-ready software, I'd love to talk.
Remote: Preferred.
Technologies: AWS, EKS, GitHub Actions, crossplane, Terraform, Azure DevOps, EC2.
Resume/CV: linkedin.com/in/lsdir
Email: elliotechne42@gmail.com
GitHub: https://github.com/autotune
Remote: primarily, willing to travel to meet and collaborate
Willing to relocate: no
Technologies: Python, Go, Kotlin, Java, Swift, TypeScript, AWS, GCP, Terraform, PostgreSQL, Redis
Résumé/CV: https://robinsiep.com/experience
Email: contact [at] robinsiep.com
I’m a senior engineer and software architect used to working with teams that are starting to strain under growth, complexity, or delivery pressure.
Over the last ~10 years I’ve been working with startups and established companies, primarily in roles where I take end-to-end technical responsibility: from system design through implementation and production operation, while remaining hands-on in delivery.
Recent work includes leading the architecture, implementation, and operational ownership of a distributed platform for venture capital workflows, as well as building and maintaining a survey fulfillment system. Both engagements included mentoring and coordinating engineers alongside delivery. More details can be found at https://robinsiep.com.
I'm currently interested in finding a more permanent role, but remain available for contract work in the meantime.
Remote: Yes
Willing to relocate: No
AI Product Engineering: full-stack AI systems, LangGraph/Chain, RAG
Technical: TypeScript, Node.js, Python, React/Vue, PostgreSQL, vector DBs, NoSQL, AWS, GCP
Recent work includes:
• multilingual AI product (26 languages) for search automation
• AI-assisted incident intelligence platform for enterprise security teams
• multi-tenant account management platform (Life Alert providers)
• semantic video search using multimodal embeddings
• multi-agent systems integrating LLMs with internal data, docs, and APIs
Experience helping teams move LLM / agent workflows (incl. LangGraph/Chain) from prototype >> production.
Previously founded and exited a SaaS company serving Fortune 500 brands (pricing intelligence & channel compliance), built and led distributed team of 100+.
LinkedIn: https://www.linkedin.com/in/jeff-borden/
Email: jborden13 [@t] gmail [dot] com
* Open to full-time, fractional, or advisory roles.
Remote: Yes
Willing to relocate: No
Technologies: Ruby, Ruby on Rails, PostgreSQL, Sidekiq/Redis, Hotwire, JavaScript, TypeScript, React, GraphQL/REST/Grape, RSpec/Capybara, Python/FastAPI, PyTorch/Hugging Face, LLM APIs (OpenAI, Anthropic), Docker, AWS/DigitalOcean
Résumé/CV: https://katatsu12.github.io/
Email: den.zubrytskyi@gmail.com
---
Senior full-stack Rails engineer, 9 years commercial. I ship AI features into production SaaS — not demos.
Most recent: Review Copilot, an AI review-analytics app live on the Shopify App Store, built and shipped solo end to end. Rails 8 backend, plus a DistilBERT multi-label classifier I fine-tuned via knowledge distillation and serve from a Python/FastAPI microservice, orchestrated through Sidekiq. Every recommendation cites the reviews behind it, with a verification pass that flags claims the underlying feedback doesn't support.
Before that: an AI-driven ABM platform (Rails + React) with LLM content-generation pipelines, marketplace products with payments and geolocation, and a legacy CoffeeScript → Turbo Frames migration.
Looking for senior IC work on a Rails product — ideally somewhere LLM or ML features are on the roadmap rather than bolted on.
Location: Kyiv, Ukraine. Remote: Yes. Willing to relocate: No.
Technologies: Angular (AngularJS, v13 > v21), React, Next.js, Vue, TypeScript, RxJS, Node.js, PostgreSQL. 6+ years across fintech, healthcare, and marketing SaaS.
Full-cycle development or targeted fixes — whichever the project needs. I ship clean work in complex production codebases without breaking the rest.
LinkedIn: https://www.linkedin.com/in/denys-derkach
Resume/CV: https://drive.google.com/file/d/1npiW3bEzxLh11KPqQFHlouvDxQR...
Email: podstavka128@gmail.com
Remote: Yes (100% Remote only)
Willing to relocate: No
Technologies: LLM Context Architecture, System Analysis, Python, Prompt/Logic Orchestration, Unstructured Data Forensics
Résumé/CV:
- Role: AI Systems Analyst (Concept & Orchestration)
- Focus: Designing structural logic frameworks and external control layers to solve core LLM limitations in enterprise environments (no traditional production coding).
- Deliverables: LLM Context Architectures for 500+ page docs (solving Lost-in-the-Middle), prevention of stochastic drift/hallucinations via audit layers, advanced pattern/anomaly detection (Rongorongo, Kryptos, Dorabella).
- Terms: German employment contract & benefits (Open to international via EoR / German entity)
- Languages: Native German, fluent written English (async-first)
- Notice Period: 2 months to end of month (German standard)
- LLM Context Architecture Repo: https://github.com/Recursive-Logic-Core/LLM-Context-Architec...
- System Analysis & Forensics Repo: https://github.com/Recursive-Logic-Core/system-analysis
Email: arch_mmm@proton.me
Remote: Yes (Remote/Hybrid depending on location)
Willing to relocate: No
Technologies: Primarily Typescript, React, Bash, GitHub Actions
Résumé/CV: https://punkbit.com/docs/cv-punkbit-helder-oliveira.20260713...
Email: info (at) punkbit (dot) com
I'm a Product Engineer and a creative based in London. I’ve built full-stack applications across web, mobile, blockchain and embedded platforms. My client-side work includes React, Electron, Roku’s Scenegraph, and native iOS development with Swift and SwiftUI, always with a strong focus on UX and design-first thinking. On the service-side, I’ve worked with traditional service hosting, containers, and serverless, including (but not limited to) AWS, GCP, Cloudflare, Workers, CloudFormation, SAM CLI, nodejs, bunjs, MySQL, Postgres, NoSQL, grpc, Redis, Docker, nginx, and a few legacy tools best left unnamed (yes, including CodeIgniter and ftp).
I’ve also developed developer tools like CLIs and SDKs, primarily Typescript/JavaScript land, and have written code in systems languages such as Rust and Zig.
I care about great UX, developer experience, documentation, rapid iteration and automating workflows with CI/CD (GitHub Actions, Bash scripts, etc).
Also familiar with modern development practices by leveraging coding agents, such as pi, opencode, claude and LLM, including kimi over fireworks inference.
Want to know more? https://punkbit.com
Remote : Yes
Willing to relocate : No
Technologies : Go, Python, Django, Docker, Kubernetes, Linux, AWS, Terraform, Helm, GitLab CI/CD, PostgreSQL, SQL/NoSQL, Bash, Angular, Vue.js, React, GIS (ESRI, GeoServer), PostGIS, TDD
Resumé/CV: https://tinyurl.com/jared-a-rodriguez-resume
Email: jaredarodriguez@gmail.com
Backend and cloud-native platform engineer with 5+ years of experience building production APIs, distributed systems, Kubernetes platforms and Infrastructure as Code. I've built REST services in Django and Go, designed a Kubernetes-native workflow orchestration platform used by U.S. National Laboratories for predictive national critical infrastructure analysis, developed custom Kubernetes Operators and automated cloud infrastructure on AWS using Terraform, Docker, Helm and GitLab CI/CD. I enjoy solving backend and platform problems, designing APIs, building developer tooling, automating deployments and approaching development with a test first mentality. Lately I've been focused on Go, Kubernetes internals, observability and the intersection of platform engineering and AI infrastructure.
Remote: Yes
Willing to relocate: No
Technologies: React, Next.js, Node.js, Three.js, React native,
Portfolio:https://beaded-desk-2c0.notion.site/Portfolio-23ea526e5bbc40...
Email: kaths2651@gmail.com
Discord: kathan2651
Heya, I am a developer with 4+ years of experience working with React, Next.js and node.js. I have written some blogs about things I built.
I am always up for learning new things and applying it,if you are looking for someone who can be in your niche tech or something challenging,Then I am your guy.
Other than that, I love movies and books, mainly stories, world building, fantasy, and that would be awesome if I got a chance to work on anything in this
Interested in Job as well contract/freelance work.
Thanks :)
Remote: Yes (or hybrid)
Willing to relocate: Yes
What I do: I build agentic systems and full-stack infrastructure.
Recent work:
- Founding contributor at NimbleBrain: designed the agentic loop and workflow engine that guides AI agents through building and publishing MCP server integrations end-to-end
- Co-created Vispyr: self-hosted observability platform on AWS with automated infra provisioning, OTel instrumentation, and a full Grafana telemetry stack
- Mozilla Firefox contributor: accessibility and DevTools CSS refactors
Stack I reach for: Python, TypeScript, AWS, Docker, PostgreSQL, Grafana stack, OpenTelemetry, MCP
AI-native: I build with Claude Code daily. Comfortable across the agentic toolchain — RAG, vector DBs, MCP, context engineering.
Resume: https://drive.google.com/file/d/179YWmLYuUz9Cfd-aOLGcgKpWbuz...
Email: jow13_122@yahoo.com
Profile: I'm a Canadian citizen Full-Stack SWE co-creator of Vispyr, an end-to-end, self-hosted, observability tool with automated infrastructure deployment, contributor to Mozilla Firefox, and a founding contributor to NimbleBrain.
Remote: Yes
Willing to relocate: No
Technologies: Rust, Golang, Python (Django, Scikit-learn, Pandas), PostgreSQL, Clickhouse, Elasticsearch, Docker, GCP.
Résumé/CV: Reach out and I’ll send a detailed version
Email: check my profile
Senior Software Engineer with 11+ years of experience building and scaling distributed systems.
My career has spanned high-growth startups, successful acquisitions, and major enterprise research labs.
Willing to Relocate: Yes, to Barcelona, Roma, Hamburg, Koln, Den Haag, Amsterdam, Rotterdam, Stockholm or Switzerland.
Full Remote: Yes. I offer a discount for full-remote work, because it saves me the hassle of relocation and commuting :)
Technologies: Go, Rust, C, Elixir, JavaScript, TypeScript, Python, web technologies (HTML/CSS, frameworks, browser APIs), Bash, Zsh, Fish, Linux, FreeBSD, MySQL, SQLite, PostgreSQL, Redis, Kafka, Docker, mathematics
Email: achenet@fastmail.com
Website: https://arielche.net/
I am a software developer and researcher with half a decade of experience and a Master's degree in mathematics. I have ample experience with Golang in a professional context often on backend services like REST APIs and programs interacting with databases and message queues, am fairly proficient with a variety of other languages and technologies, and am comfortable working on a variety of domains, from accounting/financial management/CRM software, to IaaS products, to scientific and mathematical software and language apps. I enjoy learning, and am always open to learning new things, especially if they happen to ignite my curiosity.
I like free or open-source software, systems programming, web services and the infrastructure required to run them at scale and would love an opportunity to continue to contribute to and learn about them. I enjoy mathematics and quantitative research like biology, engineering and physics. I enjoy writing, and in particular writing documentation for software, educational content, and research.
I am happiest working with people who are open-minded, conscientious and kind, and I try very hard to always embody those qualities.
I am open to both full-time employment and contract work. I am a French citizen and can work freely anywhere within the EU.
Compensation for in person work is location-dependent, and more expensive than full-remote work, due to the extra work involved (physical, moving things around in meatspace work, not just pushing bits around cyberspace). That said, I do really enjoy being in nice offices and hanging out with the team while working, and also really enjoy occasional "team in-person meetups" even when working in a full-remote context.
Remote: Yes — remote only (~EU hours or async)
Willing to relocate: No
Technologies: Python, LLMs & embeddings, semantic search, deterministic data pipelines, PDF/document extraction, OCR
Résumé/CV: https://walat.eu/cv/
Email: dariusz@walat.eu
Trustworthy output from untrustworthy data. I build systems that catch what's silently wrong — a dead sensor nobody noticed, contradictory records, a garbled scan, a confidently-wrong model — so it surfaces as a flag today, not a six-month catastrophe.
I use LLMs where they earn their place (development, meaning, embeddings, plain-language access to jargon-locked data) and keep them out of decisions and the data flow, which stay deterministic and verifiable. An LLM can help you find the answer; it can't be the answer.
Senior systems engineer, multiple AI cycles of judgment on what survives the hype and where it breaks. Currently turning messy Polish legal PDFs into a correctness-checked graph — the hard part is the verification, not the AI. Previously I built a legislative-notification service that ran autonomously in production for over three years before I retired it. I've written about where AI coding agents actually fail and why verification is the real work: https://walat.eu
Best fit when: correctness matters, the data is real-world-messy, and you want someone who names what doesn't work and why.
Remote: Yes (worldwide — 2pm–11pm IST, overlapping full EU business hours plus US-East mornings)
Willing to relocate: Yes
Technologies: Python, C/C++, Docker SDK (Sandboxing/cgroups), LangGraph, Numba JIT, POSIX, FastAPI, WebSockets, Thread-Safe Queues, SQLite (WAL), Linux
GitHub: https://github.com/sriramvarun0636
LinkedIn: https://www.linkedin.com/in/sri-ram-varun-dittakavi-4103a428...
Resume/CV: https://drive.google.com/file/d/1XXZ-d2hf8wEJYx0O-kX310qkeHr...
90s Sandbox Demo: https://www.loom.com/share/104cf5ebcfc144a09f49c62830755408
Email: sriramvarun636@gmail.com
I build the systems plumbing, concurrent pipelines, and secure runtime isolation that AI coding-agent startups are racing to ship. Happy to prove it directly on your codebase first — I'll take on a 2-3 week paid trial sprint on a real backend bottleneck before any longer-term conversation.
Computer Science Engineer (MNNIT Allahabad). Formerly Software Engineering Intern @ DeeveloX (preprocessed 5GB+ vector search datasets with Gemini APIs).
Recent High-Agency Projects:
• AutoPatch-AI (https://github.com/sriramvarun0636/AutoPatch-AI): Autonomous, self-healing code remediation agent built on a LangGraph state machine. Engineered a zero-trust Docker execution layer (network_disabled=True, 256 MB RAM / 128 PID cgroup hard limits), streamed real-time telemetry over thread-safe queues via SSE, and built an AST-based line-level parser (cutting context/generation bloat by ~80%). Achieved a 100% resolution rate (5/5) on a custom Micro-SWE-bench harness with an average time-to-resolution of ~205 seconds.
• SentinelPrime (https://github.com/sriramvarun0636/SentinelPrime): Multi-threaded, regime-aware options trading system for live WebSocket market data. Releases the CPython GIL during numerical computations using Numba JIT compilation (nogil=True) and an Actor Model architecture over daemon threads to isolate DB I/O and API calls. Built thread-safe O(1) queues and fixed-size circular memory buffers to eliminate allocation overhead under 24/7 continuous operation.
• HydraPrime (https://github.com/sriramvarun0636/HydraPrime): Systematic XAUUSD strategy in MQL5 (C++ derivative), developed and iterated solo over two years — OTE/Fair-Value-Gap structural entries with ATR-adaptive sizing and multi-layered drawdown circuit breakers. Backtested across 96M+ real ticks over a single two-year window (2024–2026) that included a strong gold bull run: 1.37 profit factor, 13.8% max drawdown, 252% net return. Not yet forward-tested live, so I hold that return number loosely until it survives a different regime.
What I'm looking for: Backend/infra/agent-systems roles at early-stage teams, pre-seed to Series A — founding engineer or engineer #2–5, wherever you're at. Standard interview loops work fine too, not just trial sprints.
Remote: Preferred
Willing to relocate: For the right role, though I'd prefer to stay in the PNW.
Technologies:
* Languages: Python (proficient), Bash (proficient), JS/Go/SQL (familiar)
* DevOps: Kubernetes, Ansible, Docker, Zabbix, DNS (TinyDNS/BIND), Harvester, Netbox, KeaDHCP, CI/CD, GHA
* Platforms/infra: Linux (Rocky/Debian/Arch), Hetzner, AWS, Colo/On-Prem
* HPC/ML: SLURM, Ceph, TF/Keras/PyTorch
* Biophysical: GROMACS, OpenMM, FoldX, PyRosetta
Email: jonathan [at] jbarnes.dev
LinkedIn: https://www.linkedin.com/in/barnesjonathane/
Hi, I'm Jonathan, a PhD physicist who moved into infrastructure.
I run infrastructure for an open-source blockchain project where I manage 40+ linux nodes covering provisioning, virtualization, DNS, monitoring, deployments, and user-facing services. I also operate a small web hosting business where I own the full stack from bare metal up. Before this, my background was postdoctoral biophysics and ML research (GROMACS, SLURM, ML-assisted free-energy prediction) plus contract cloud engineering at a startup.
I'm a strong fit for platform, infrastructure, SRE, DevOps, or computational research roles. I do my best work in small, collaborative teams, and I'm comfortable wearing many hats.
Willing to relocate: No
Technologies: Ruby, Ruby on Rails, PostgreSQL, Redis, Sidekiq, Java, AWS, GCP, Docker, Kubernetes, CI/CD, REST APIs, distributed systems
Résumé/CV: [https://github.com/dmccarty/backend-engineer-resume/blob/mai...
GitHub: https://github.com/dmccarty
Email: dan.mccarty.dev@gmail.com
Senior backend engineer available for contract, fractional, contract-to-hire, or full-time opportunities. I have 30+ years of experience building and operating production systems across startups, SaaS, media, financial services, telecom, and public safety domains. I've worked in both early-stage and growth-stage companies and enjoy owning systems end-to-end, from architecture and implementation through deployment and operations. For the past 13 years I've focused primarily on Ruby on Rails backend platforms, APIs, PostgreSQL, cloud infrastructure (AWS/GCP), and production reliability. My experience includes backend architecture, distributed systems, database performance tuning, cloud migrations, DevOps ownership, and operating customer-facing systems in production. I enjoy helping teams solve scaling, reliability, modernization, and operational challenges. Particularly interested in backend, platform, infrastructure, and data-intensive systems, though I'm comfortable contributing across the stack when needed. Available to help with Rails modernization, production reliability, cloud migrations, PostgreSQL performance tuning, backend platform development, and API-heavy applications.
Remote: Yes
Willing to relocate: No
Technologies: Typescript, React, TanStack Start, Next.js, PostgreSQL, pgvector, Redis, Docker, Drizzle ORM, Zod, Zustand, TanStack Query, Tailwind CSS, Plasmo, Vite, Astro, Expo, AI SDK, Python, TensorFlow, scikit-learn, Pandas, Deck.gl, AWS, GCP
Résumé/CV: https://tomasmenezes.com/cv
Email: tomas.alexmp+hn@gmail.com
More info: https://tomasmenezes.com
I founded a real estate development+proptech company, exited an 8-figure gdv residential project and recently sold a decision-support saas for new-development underwriting.
Before that, I did ML research (session-based recsys, re-reranking, model selection optimization), product management at an early-stage vc, and built other end-to-end full-stack AI products that helped real estate brokerages and developers automate more than 150 hours per month in manual research and analysis workflows, more than doubling their project throughput.
Remote: Open to Remote, In-person, or Hybrid
Willing to relocate: Yes
Technologies: Languages - JavaScript, TypeScript, Ruby, Python, SQL
Frameworks / Libraries - Express, Sinatra, React, Jest, Vitest, LangChain, Selenium, Pandas
Cloud / Databases - AWS, DocumentDB, MongoDB, PostgreSQL, RDS, SQLite, ChromaDB
Other - Docker, AI/LLMs, RAG, MCP, SSE, WebSockets
Email: rachrusiecki@gmail.com
Hello! I'm Rachel, a Full-Stack Software Engineer with multiple years of experience in JavaScript, TypeScript, Ruby, and Python. I recently co-created Pendulum (https://www.pendulum-baas.dev/), a reactive Backend-as-a-Service for web applications. I also recently did freelance work incorporating AI agents into Intelliflo Office for a wealth management firm, and am looking for my next permanent role.
Remote: Preferred
Willing to relocate: Maybe
Expert backend developer primarily focused on data engineering, mission critical/low latency/highly available systems, and AWS (certs: https://www.credly.com/users/jon-north.ad78f0c8). Happy to deal with greenfield or legacy or any mix of the two. I learn new things extremely quickly.
I prefer long term contract work, though I’ll help you with smaller things as well. W2 employment is a possibility if the fit is right. Whatever you’re doing with AI is also fine by me, and I’ll lead/adapt as appropriate.
Technologies: Python, C/C#/C++, SQL, NoSQL, Go, Golang, Docker, Git, Linux/Windows, Bash, Kafka, Redpanda, PySpark, Spark, AWS, Azure, GCP, Terraform, Kubernetes, Redis, Postgres, MySQL, SQL Server, SAP HANA, LDAP, Active Directory, OAuth2
Resume/CV: www.adiuvat-consulting.com
Email: jon.north@adiuvat-consulting.com
Location: Florida, USA
Remote: Preferred.
Willing to relocate: Under the right circumstances.
Technologies: JavaScript & Friends (Node, jQuery, React), C#, .NET, SQL/NoSQL, Python, Bash
Email: faymatt96@gmail.com
Looking forward to hearing from you.
Technologies: Kubernetes, Terraform, AWS, Go, Python, Docker, Helm, Argo, Kong, Prometheus, VictoriaMetrics, Vector, Quickwit
Resume/CV: [available on request]
Email: open4work2026@gmail.com (want to keep it anonymous because coworkers are on HN)
24 years in infrastructure, currently Lead Platform Engineer at a security AI startup where I built the platform team from scratch (0 to 5 engineers) and architected multi-tenant Kubernetes infrastructure across 40+ clusters with per-tenant KMS encryption and Argo-based progressive delivery.
Before that, spent nearly 6 years as Staff SRE at Iterable where most of my work centered on making infrastructure cheaper and more reliable. Replaced ELK with Quickwit for 65TB/day log ingestion (saved $1.2M/year), migrated Lambda pipelines to Vector ($60k/mo down to $8k/mo), and stood up VictoriaMetrics to replace Datadog for 33M metrics ($30k/mo savings). I tend to find the project that saves the most money and then actually build it.
I write Go -- built Kubernetes operators for RabbitMQ, Redis, and Vector (open source: github.com/zcentric/vector-operator). Terraform is my IaC of choice and I've used it everywhere from a global Predix platform (Japan, EU regions) to scaling Kubernetes clusters from 10 to 300 nodes on spot instances for satellite image processing at Urthecast.
I've managed teams at three companies (up to 6 engineers) and served as product owner for SRE groups, but I'm open to both IC and management roles at the Staff/Principal/Director level.
Looking for: DevOps, SRE, Platform Engineering, or Cloud Infrastructure roles. $200K+ total comp. Remote only, US-based.
Remote: OK
Willing to relocate: Yes
Technologies: Go, Python, Django, DRF, FastAPI, Flask, Celery, Redis, PostgreSQL, RabbitMQ/Kafka, Docker, K8s, AWS[Lambda, EC2, S3 and ELB].
Github: https://github.com/sirrobot01
Resume: https://drive.google.com/file/d/1dmHC01E1BKHQANrjV30oudG3aI0...
Portfolio: https://biodun.dev
Email: akeremukhtar10@gmail.com
Backend engineer with ~7 years in Go and Python. Most of my work is backend systems: APIs, payments, streaming, the plumbing that has to hold up. I have a soft spot for perf-centric development
Most of what I've built recently is open source. The one with real users is decypharr, a media gateway that streams files over a FUSE layer, where I've done deep work on goroutine leaks, lock contention, and caching. I also build a handful of smaller Go tools, from a multi-protocol file server to a protobuf schema registry, all on my GitHub.
Remote: Yes, remote or Cincinnati area only
Willing to Relocate: No
Technologies: LLMs/MCP development (recently for game development and developer support automation), Go, Python, Java, Typescript, Distributed systems, game development in Unity and Godot
Other skills: Developer education, partner engineering/FDE, solutions engineering
Resume: https://gabethebando.cc/resume
Email: g.albacarys@gmail.com
Jack-of-all-trades software engineer with ~10 years experience, focusing on developer experience, working on game platforms such as Netflix's cloud games stack and Niantic's real world platform. I love game development, and am passionate about helping partners succeed by helping connect them with the right resources and blazing a path forward where one didn't exist before. I'm looking for either a developer tools-focused SWE role or a Partner Engineering/Forward Deployed Engineer role. I'm also interested in jumping into engineering management; I've had significant informal management experience and would like to translate that into a full-time move into EM work.
I'm unable to relocate due to family obligations but have no issues with travel. Thanks in advance!
Remote: Yes (EU/US time zones)
Willing to relocate: Yes.
Technologies: Rust, Python (PyTorch, NumPy/Pandas, Flask, Django), PyO3 Databases/infra: Postgres, ClickHouse, Qdrant, Redis, Kafka, Docker, Kubernetes (k8s) ML and systems: vLLM, TensorRT, Ray, edge ML inference, gRPC/Protobuf, systems profiling (perf, flamegraphs, Valgrind) Rust focus: Async services (Tokio, Axum/Actix), data/compute (Polars/Arrow), database proxies, performance-critical pipelines.
Domain expertise: - Academic: PhD in mathematics (topological data analysis, representation theory), MSc finance, MSc neuroscience. - Applied: database proxies/networking, quant dev and backtesting engines, ML/DL for banking & finance (risk/fraud), LLMs and agentic frameworks (tools, planning, eval), image processing, audio processing.
Résumé/CV: available upon request
Systems-oriented ML/LLM engineer specializing in Python/PyTorch and Rust for low-latency, high-throughput services. I have 8+ years of professional experience with Python and machine learning, and 5 years of production experience in Rust.
I thrive at the intersection of complex math and low-level systems. I've worked across multiple heavy domains, with deep experience building high-performance database proxies, modeling financial risk and architecting LLM agentic workflows, alongside applied work in audio and image processing. Actively exploring remote or relocation opportunities where I can apply my deep mathematical background and backend developer skills to hard engineering challenges.
Open to full-time roles or freelance/contract work (able to invoice B2B via my own company).
Email: hn [at-symbol] vixe.re
Remote: Remote only
Willing to relocate: No
Technologies: Ruby, Ruby on Rails, JavaScript (ES6+), TypeScript, React, HTML/CSS, StimulusJS, Tailwind CSS, Bootstrap, PostgreSQL, Git/GitHub, Gemini CLI, Heroku, Render, Railway
Résumé/CV: https://drive.google.com/file/d/1ZezO0a1vjAPscsYlPDfGR_XeDg-...
Email: yuhruhgrape@gmail.com
I am a Software Engineer with 5 years of experience building secure, maintainable, and data-driven web applications. I specialize in full-stack architecture, migrating complex legacy processes (like unmanaged Excel data) into modern relational PostgreSQL schemas, and integrating AI workflows.
Highlights:
- Architected a Rails 8 application migrating legacy Excel datasets into PostgreSQL with real-time visualizations.
- Integrated Gemini AI to automate i18n tasks and extract medical data from uploaded images.
- Implemented robust authentication systems including OmniAuth integration for Google, GitHub, and LINE.
Remote: Remote only
Willing to relocate: Yes, with visa sponsorship
Technologies: TypeScript, React, Next.js, React Native (Expo), Node.js, Express, Nest.js, Python/Django, PostgreSQL, Prisma, Redis, MongoDB, Supabase, Docker, Nginx, AWS S3, GitHub Actions CI/CD, WebSockets, REST APIs, microservices
Résumé/CV: https://drive.google.com/file/d/1YnzMKIi0KnecclOpo8AmtrCpS83...
Email: umermehmood3000@gmail.com
Full stack engineer, 2+ years, currently lead developer on a real-time broker app.
Highlights:
- Shipped Floret Analysis end to end — a React Native trading app live on both the App Store and Play Store. Live WebSocket market data, dynamic charting, biometric auth, push notifications, native module bridging: https://apps.apple.com/pk/app/floret-analysis-for-pmex/id674...
- Scaled Anewswire, a Django/Next.js press platform, past 20,000 active users with RSS pipelines and a custom CMS.
- Architected Contfly, a Nest.js microservice platform integrating 6+ social APIs behind a gateway.
- LLM tooling in production, not just in the editor: Claude Code as my primary driver, bulk generation on the Anthropic Batches API, and a deterministic metadata layer over ~700 generated pages — built specifically to bound where the model was allowed to be nondeterministic.
Available in 2-4 weeks. Open to contract or full-time.
I build AI-powered web products with typed, auditable backends. Open to remote contract or full-time work.
Veris — GitHub PR analysis tool that classifies risk and surfaces a structured merge recommendation with evidence. GitHub App ingests PRs via webhooks; diffs go to an LLM through OpenRouter; output is schema-validated before it's ever shown to a user, not rendered directly. Can reliably check structural consistency, but treats true intent verification (did the PR solve the actual task) as an open problem rather than faking it. MVP, live: veris-roan.vercel.app
Briefr — AI research agent, cited reports in seconds. Citations pulled from grounding metadata, not generated by the model. Live: briefr-ai.vercel.app
AppealMD — turns dental insurance denials into payer-specific appeal letters in under 30s. 3-step pipeline (classify → match rule → generate), Pydantic validation at every stage. No PHI stored. Live: getappealmd.vercel.app
I avoid abstractions I can't audit. I make product decisions, not just implementation decisions.
Email: fraolashebir84@gmail.com
- Location: Chicago, IL, USA
- Remote: Yes
- Willing to relocate: No
- Technologies: TypeScript, React, Next.js, Node.js, Python, Cloudflare Workers/Durable Objects/D1/KV, Hono, Drizzle ORM, SQLite, PostgreSQL, OpenAI/Anthropic APIs, MCP, Tailwind, Git
- Résumé/CV: https://nicobaier.com/resume.pdf
- Email: nico.baier@gmail.com
- Github: https://github.com/nbbaier
- LinkedIn: https://www.linkedin.com/in/nicobaier
- Website: https://nicobaier.com Remote: Yes, remote only. Async-preferred.
Willing to relocate: No
Technologies: Rust, Python, C++/CUDA, C#/.NET, TypeScript, Go, Kotlin, SQL | PyTorch, Hugging Face, Burn, ONNX Runtime, llama.cpp, LiteRT-LM, Whisper | SQLite, Docker, Linux, Cloudflare
Résumé/CV: https://github.com/IsaacLevinsky/resume
Email: ilevinsky36@gmail.com
I train small language models from scratch and ship them into production myself - on a single 8-year-old Quadro GP100 workstation, no cloud spend.
- RustMind: a complete LLM training stack written from scratch in Rust on Burn - model, byte-level BPE tokenizer, corpus pipeline, GPU training. Ladder from 21M to 125M; the 21M encoder is trained to production quality and ships in
software today. Public pipeline proof (MIT): https://github.com/IsaacLevinsky/rustmind-mini-embed-base
- Root-caused a generation-collapse failure to non-stratified validation splits and over-memorized templated data, then rebuilt the corpus pipeline around document-aware chunking.
- LookingGlass: zero-dependency Rust workspace-analysis engine. 3,441 files in ~47ms. Single binary, no Python or Node runtime.
- Orion: C++/CUDA data engine. 1.15M rows in 1.276s (~901K rows/sec).
- 17 offline-first apps published across Google Play, Amazon, and Samsung - native C#/.NET Android, on-device Whisper and ML Kit, no ads or accounts: https://play.google.com/store/apps/developer?id=MCMLV1+LLC
- Live AI in production on three surfaces, including a chatbot on mcmlv1.com running on my own hardware.
Give me a constraint, a spec, or just a problem, and I design and deliver the whole system end to end. Full-time or contract.Senior Ruby/Rails engineer, 11+ years. My specialty is data-heavy Rails: making it fast, and making it correct.
- Partitioned PostgreSQL at scale — ~330M rows / ~220GB in production, entity resolution and duplicate-merging across 100M+ row tables - Query performance — 5–40x speedups by restructuring schemas and moving hot paths off Postgres onto OpenSearch - Billing engines — rebuilt one for ~10x faster calculation and ~50% smaller database (ActiveRecord→ROM), another for a 5x speedup on the bill pipeline - Recently — pgvector/RAG inside Postgres, LLM integration in Rails (RubyLLM, MCP tooling)
Likely a good fit if you have a Rails app outgrowing its database, a billing or usage-metering system that's slow or subtly wrong, or you want RAG without bolting on a separate vector DB.
Open to full-time or contract. 4+ hours of daily overlap with US East now; the Lisbon move in November adds 2 more. I invoice through a registered sole proprietorship with a W-8BEN on file — no US withholding under the treaty, nothing for a finance team to set up.
I'm a forward-deployed engineer. My background is 15+ years of data science, but I focus on solving problems. I work in messy, ambiguous, regulated environments. Often at a client's site, inside their systems and their data. I excavate unmapped data, learn how the team works, and ship tools that stay in production.
Deployed and still running: Legal clause extraction and validation; site rust detection and management; routing and predictive-maintenance systems that stayed in service.
I compress engineering, data, and modeling into one function, owned end to end. I show up, figure out what needs to be built, and make it work.
Tooling: ML/AI, LLMs, and the engineering around them: evals, determinism, observability, guardrails. The tech is just a tool, The hard part is knowing what to build.
If you have a messy, ambiguous problem that needs someone who can embed and ship, my email is in my profile.
Location: Seattle, WA
Remote: Remote/Hybrid/Office
Willing to relocate: Yes
Technologies: Python, Rust, Elixir, Go, TypeScript, PostgreSQL, AWS, ONNX
Résumé: Available upon request
Email: career@dylanjones.io
LinkedIn: Available upon request
Site: dylanjones.io
Location: London, UK
Remote: Yes (remote preferred; open to one day a week in central London)
Willing to relocate: No
Technologies: TypeScript/React, PHP/Laravel, PostgreSQL, React Native/Expo, product design/UX, AI-assisted development
Résumé/CV: https://dvy.io
Email: hn@davidbarker.me
LinkedIn: https://www.linkedin.com/in/dvyio
Seeking: Senior Product Engineer with product design ownership (permanent preferred; open to substantial contract work)
At Flowstate, I took a workforce-planning SaaS from blank repo to paid pilot in 10 weeks as sole engineer-designer. I currently own product design, backend, mobile apps, Stripe Connect payments, AI-assisted listing tools, and infrastructure for a US trading-card marketplace.
I use and evaluate new AI models and coding workflows to make product development faster, while preserving quality through type safety, tests, CI, review, and product judgement.
I'm looking for a team that uses AI coding tools seriously, values strong product design, and keeps product builders close to customers.
Remote: Yes
Willing to relocate: Yes (visa ready for EU coutries, elsewhere might take a little longer, tho preferred(East Asia))
Technologies: Golang, Python, Nix, Octave, Docker, Kubernetes, Jenkins, Ansible, Forgejo, Arduino, Proxmox, Apache, Nginx, RabbitMQ, MariaDB, Checkmk, Debian, RHEL, AWS, GCP
Email: hn.devops.kiwvg@silomails.com
Résumé/CV: available upon request
DevOps Engineer with 4 years of experience in the field and 10 years of linux administration. Looking for DevOps/SRE/System Administration work. Interested in multinational corporations to get myself involed in high risk/reward situations, but smaller teams are completely fine as well.
Remote: Yes
Willing to relocate: Yes
Technologies: Ruby, Python, JavaScript (ES6), TypeScript, React, Node.js, PostgreSQL, MongoDB, OpenSearch/Elasticsearch, AWS (ECS, EC2, VPC, ALB, Secrets Manager), Docker, Terraform, OpenTelemetry, Jaeger, Prometheus
Resume/CV:https://drive.google.com/file/d/1aBYTxqlWIKmm59UT5ffK493tKR0...
LinkedIn: https://www.linkedin.com/in/zane-lee-14496a297/
Email: zanedev28@gmail.com
GitHub: https://github.com/Kcstills17
Co-creator of Retriever (https://runretriever.app/), an AWS-deployed observability platform that enables AI-powered trace analysis through distributed systems. Built a custom MCP server allowing developers to query trace data using natural language through LLMs like Claude, optimizing context consumption through intelligent data distillation from verbose OTLP structures.
Experienced with building full-stack applications. I am comfortable using AWS as a cloud environment and have experience with AI technologies such as RAG, MCP, and Vector embeddings.
Remote: Yes, open to remote, hybrid, or in office
Willing to relocate: Yes
Technologies: Fortran, Python (Matplotlib, Numpy, Pandas, Scipy), OpenMP, Git/GitHub, Linux, Bash, others...
Résumé/CV: Available on request
Email: d6q730rl [at] fastmail [dot] com
GitHub: https://github.com/btrettel
Personal website: http://trettel.us/
I'm Ben Trettel, an experienced mechanical engineer with a PhD, specializing in computational fluid dynamics, design optimization, and verification & validation of computer simulations.
I am particularly interested in opportunities to build cutting-edge physical products where computational simulation and design optimization are key.
LoganDark•54m ago
Remote: Yes
Willing to relocate: No
Email: logandark@logandark.net
Technologies: I am full-stack and have been almost everywhere in the consumer market:
- Rust, TypeScript/JavaScript/Node.js/Bun/Deno, Swift/Obj-C, C/C++, Python, Go, C#
- Windows, Linux desktop/server, macOS/iOS, some BSD (mostly from macOS)
- Tokio/Rayon, React.js/Svelte/Angular, SwiftUI/some AppKit, wxWidgets, Asyncio/Twisted
- Desktop, embedded, web, backend, some mobile (mostly iOS)
- Burn, GGML, NumPy, some JAX, some Mojo, some MLX
Rust is definitely my favorite and TypeScript is up there as well.
At my last company, I worked on developer experience and performance optimization. The one before that on user experience and polish. I work best on storms of small things, tend to get wrapped up on big projects.
I am fully self-taught, have been doing this for over 10 years & have a beefy personal machine (macOS or Windows). I have about 3 years of professional experience. I am available to interview immediately and can start immediately. Contact me with anything.