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 |
What I Build
- Distributed backends & platforms — Enterprise-grade TypeScript/NestJS microservices: multi-database persistence, enterprise SSO (SAML/LDAP/JWT/2FA), real-time messaging (WebSockets/MQTT), background job processing, and deep automated test coverage spanning unit → integration → security/compliance → load.
- Full-stack products — React / Next.js front-ends on Node back-ends, shipped end to end in TypeScript.
- Applied AI / ML & LLMs — Training, fine-tuning, and serving models with PyTorch and HuggingFace; LLM inference and generative pipelines (speech recognition & diarization, diffusion); research with statistically rigorous methodology and published results.
- Security & RF/SDR research — Machine learning for security, wireless/RF human-sensing, and software-defined-radio & firmware experimentation.
- Systems & embedded — Linux kernel patches and device drivers, custom embedded/router firmware, and upstream open-source contributions in C/C++/Rust.
- Cloud & DevOps — Docker, Kubernetes, Helm, Ansible, and GitLab/GitHub CI/CD, with reproducible, lockfile-driven builds.
Selected Work
A few things I can actually point at (most client work I can’t):
- Applied ML research — RF/wireless human-activity sensing with a rigorous experimental harness (cross-validation, statistical significance testing, calibration) and a whitepaper (publication pending).
- ML for security — Generative modeling applied to security research.
- Open source — Upstream contributions to Linux audio tooling and kernel audio drivers.
- Knit — A personal “hyper-local” mesh-networking encrypted chat app that uses only the radios already in your phone.
- For fun — Procedural game development (Godot / C#) and a small ecosystem of game mods.
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