PlatAtlas
PlatAtlas gives agentic and physical AI work a verifiable accountability layer. Per-org consoles map what agents and machines do, sign every action, and keep a replayable record. OpenCastor is its open-source robotics edition.
Systems engineer · prototyper & builder
By day I keep enterprise systems running for member utilities. The rest of the time I build PlatAtlas and its open robotics edition, pairing with Claude Code to move at the speed of the idea. I’m a Prototyper who spans into Builder. I explore a lot of ideas, then turn the ones that hold up into real systems. 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
PlatAtlas is the platform: per-org consoles that map agentic and physical AI work, sign every action, and keep a replayable record. OpenCastor is its open-source robotics edition. That’s where ROBOT.md is to a robot what CLAUDE.md is to a codebase: one declarative file that lets Claude Code, Claude Desktop, Cursor, or any MCP-aware agent safely understand and operate a physical robot. I prototype fast, then build it into a coherent system, pairing with Claude Code.
The OpenCastor edition, to start today
pip install robot-md robot-md-mcp
robot-md init --yes Proof it’s real
One month of prototyping and building, paired with Claude Code. Measured, not estimated:
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
The open-source robotics edition of PlatAtlas is itself four layers, each its own repo with its own release cadence and one clear concern. A change at the bottom ripples up cleanly, which is what keeps a stack this size tractable to prototype, build, and hold together.
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.
PlatAtlas gives agentic and physical AI work a verifiable accountability layer. Per-org consoles map what agents and machines do, sign every action, and keep a replayable record. OpenCastor is its open-source robotics edition.
OpenCastor is the open-source robotics edition of PlatAtlas. A single ROBOT.md manifest, the RCAN wire protocol with Python and TypeScript SDKs, an MCP server so any LLM can drive a robot, and a public registry with the first five EU AI Act-aligned endpoints.
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.
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.