Full-Stack Artist & AI Visionary
I’ve spent my career working with technology from the transistor level through the AI infrastructure layer — automotive silicon validation at TI, consulting for Toyota on their Engage platform, then senior AI engineering at Microsoft Research, working with OpenAI before ChatGPT shipped.
Now I produce electronic music — which, if you’ve ever taken a signals class, is just manipulating oscillators with extra steps — and I’m building RAIN, a platform that creates personalized AI employees for nonprofit fundraisers.
Public Code Samples
These are sanitized public engineering samples. Most of my production and client-style work remains private, but these repos show representative architecture patterns.
A full-stack AI workflow demo built with FastAPI, LangGraph, Server-Sent Events, Next.js, TypeScript, Pydantic/Zod validation, Docker, tests, and CI.
Demonstrates
Graph-based AI orchestration, streaming UX, typed API boundaries, fake/mock provider testing, and reviewer-friendly public repo hygiene.
An async transcription platform demo with WAV upload, idempotent job creation, Postgres metadata, DB-backed queue processing, worker execution, fake transcription provider, transcript persistence, frontend status UI, Docker, tests, and CI.
Demonstrates
Production-shaped job processing, idempotency, worker architecture, artifact storage, retry/error boundaries, and safe local-first AI platform design.
AI is more than a tool — it’s a partner in creativity and growth. From using AI-augmented art for exposure therapy to crafting music videos and digital designs solo, I’ve redefined personal mastery. I’ve seen firsthand how this technology transforms lives — enhancing creativity, connection, and personal development.
Whether it’s consulting or a creative collaboration — I’m always open to new conversations.