Systems engineer · independent builder
By day I keep enterprise systems running for member utilities. By night I build open infrastructure for robots — a whole stack, alone, by pairing with Claude Code. Accessibility isn’t a feature I add; it’s the reason I build.
Sacramento, California · deaf engineer · accessibility-first by default
What I’m building now
One file — YAML frontmatter and plain markdown — that lets Claude Code, Claude Desktop, Cursor, or any MCP-aware agent safely understand and operate a physical robot. I’m building the spec, the runtimes in two languages, the agent surfaces, and the public registry that keeps it honest. One person, one coherent system.
pip install robot-md robot-md-mcp
robot-md init --yes
robotmd.dev — the public home for ROBOT.md
Proof it’s real
A team of one, shipping at the cadence of a whole org. One month, measured:
Hardware in the loop: a SO-ARM101 arm named bob, registered as RRN-000000000001. Every feature is exercised against real servos before it merges.
The system
Each layer is its own repo with its own release cadence and one clear concern. A change at the bottom ripples up cleanly — which is the only reason one person can hold it all.
Selected work
Computer vision, accessibility, edge AI, open standards — every one a system built to keep someone safer or more included. The robotics work didn’t come from nowhere.
An open-source bench where a capable model designs a quantum circuit or chip and a deterministic, numpy-only judge re-simulates and ACCEPTs or REJECTs it. The wedge for a verifiable-efficiency referee — an honest map of where machine intelligence actually gets more efficient.
An interactive, browser-based lab that walks you down a temperature gradient and shows — with real PDB/AlphaFold structures and rigorous prose — how proteins like HSF1 sense and survive heat. The thing I built after I built the wrong thing.
Public identity and compliance for AI-driven robots — permanent RRNs, Ed25519 ownership proof, and the first five EU AI Act-aligned endpoints, live.
On-device spatial captioning for deaf/HoH users in XR — captions appear in 3D near whoever is speaking, running on the Qualcomm Hexagon NPU.
Edge computer-vision platform for drone detection — custom YOLO models with RF and thermal fusion, designed for the field.
Sensor fusion + ML that gave cyclists a 3.2-second collision warning window at 96% prediction accuracy.
How I learned to ship at scale
Before the robots, I spent fifteen years making enterprise platforms ship safely — migrations, automation, governance, CI/CD. That’s where I learned that the hard part of any system isn’t the code; it’s keeping every moving piece coherent.
Why I build
“I build the infrastructure I wish existed — for robots, and for the people who usually get left out of the brief.”
Being deaf shaped how I work: I read systems for a living, I document everything, and I design for the person who isn’t in the room. The accessibility tools and the robot registry come from the same place — a belief that the things that decide for us should be legible, signed, and accountable.