Hi, I’m Jeff 👋
Senior software engineer with a generalist’s range and a specialist’s depth. I design distributed backends, ship full-stack products end to end, and train, fine-tune, and serve ML and LLM systems. My range runs unusually wide — from TypeScript microservices down to Linux kernel drivers and software-defined radio — and I do my best work where “that’s probably impossible” turns into “shipped.”
Most of my professional work is under NDA, so the specifics here stay abstract. The capabilities don’t.
Modus Operandi
| Languages | Backend & APIs | Frontend | Data & Infra | AI / ML | Systems & Security |
|---|---|---|---|---|---|
| TypeScript | Node.js / NestJS | React | PostgreSQL · Mongo | PyTorch | Linux kernel |
| Python | Express / Fastify | Next.js | Redis · Elasticsearch | 🤗 Transformers | Embedded / RF |
| Go | REST · gRPC · WS | React Native | Docker · Kubernetes | LLM inference | SAML/LDAP/JWT · 2FA |
| Rust | GraphQL | Tailwind CSS | Helm · Ansible | Fine-tuning | PKI · crypto |
| C / C++ / C# | Message queues | Testing Library | GitLab / GitHub CI | Diffusion · ASR | SDR · firmware |
| Kotlin · Swift | MQTT | Jetpack Compose | SQLite · SQLCipher | On-device ML | Android Keystore |
What I Build
- Distributed backends & platforms — TypeScript/NestJS microservices with multi-database persistence, enterprise SSO (SAML/LDAP/JWT/2FA), real-time messaging over WebSockets and MQTT, and background jobs, tested at every layer from unit and integration through security, compliance and load.
- Full-stack products — React / Next.js front ends on Node back ends, shipped end to end in TypeScript.
- Native mobile — Android and Wear OS apps in Kotlin and Jetpack Compose, plus Swift on iOS: peer-to-peer and offline-first designs, end-to-end encryption, background services that stay alive, on-device ML, and releases through Google Play and F-Droid.
- Applied AI / ML & LLMs — Training, fine-tuning and serving models with PyTorch and Hugging Face; LLM inference and generative pipelines (speech recognition and diarization, diffusion); retrieval-augmented generation and MCP servers; and research with statistically rigorous methods and published results.
- Security & RF/SDR research — Machine learning for security, sensing people through wireless signals, and software-defined radio and firmware experiments.
- Systems & embedded — Linux kernel patches and device drivers, custom embedded and router firmware, and upstream open-source contributions in C, C++ and Rust.
- Cloud & DevOps — Docker, Kubernetes, Helm, Ansible, and GitLab/GitHub CI/CD, with reproducible builds pinned by lockfiles.
Selected Work
A few things I can actually point at (most client work I can’t):
- Corpusly — Search your Google Drive from Claude and other MCP clients, with no vendor server between your Drive and your AI client. It streams straight from the Drive API, embeds locally (or on your GPU, if you opt in), and a CI test fails the build if the code ever contacts a host it shouldn’t. The core is free; the desktop app is in early access. corpusly.ai. Engineering write-up.
- Clair — Answer Claude Code’s permission prompts and plan reviews from your watch or phone. A small Go agent runs on your computer, the relay in the middle only ever sees encrypted messages, and the Wear OS app brings a tile, a complication and its own watch face. I built it in about ten days. claircode.app · Google Play. Engineering write-up.
- What’s New — Release notes for 1,700+ products in one feed, covering open source, games, operating systems, and desktop and mobile apps. Nearly all of it is read from first-party APIs instead of scraped, and a public MCP server tells coding agents what changed between two versions of a dependency. whatsnew.fyi. Engineering write-up.
- Knit — A messenger that works phone-to-phone over the radios already in your phone, with no servers, accounts or signal required. Direct and group chats are end-to-end encrypted with forward secrecy, and direct messages wait for friends who are offline. When you want more reach, a LoRa board adds kilometre-scale hops and optional relays (self-hosted or hosted) carry messages over the internet without being able to read them. Content moderation runs entirely on the device. It’s on Google Play and F-Droid with reproducible builds, an iPhone version is in progress, and it’s open source (GPLv3). getknit.app. Engineering write-up.
- Applied ML research — Sensing human activity through RF and Wi-Fi signals, with a rigorous experimental harness (cross-validation, significance testing, calibration) and a whitepaper awaiting publication. Engineering write-up.
- ML for security — Generative models applied to password research. Engineering write-up.
- Open source — Upstream contributions to Linux audio tooling and kernel audio drivers. Engineering write-up.
- Grandma — A production AI chat app (grandma.chat), installable from the web and from Google Play. It has layered abuse defenses, a daily spending cap on model calls, and storage that swaps between in-memory and MongoDB. Engineering write-up.
- For fun — Procedural game development in Godot and C#, and a small collection of game mods. Engineering write-up.
Trivia
- 12k+ reputation on StackOverflow (top ~0.70%)
- PluralSight expert in TypeScript, JavaScript, Node.js, Git, Docker, NPM
- I would still travel one-way to Mars