About
Mechanisms, music, manufacturing, cognitive science, and AI systems.
AI/ML research engineer · physical systems
I work where models meet physical constraints: robotics, CAD, manufacturing, agent environments, and high-stakes software.
Based in Santa Barbara. Open to ambitious Bay Area teams, including a staged move north, and to unusually strong remote work.
Selected work
A test-driven planning harness that compares candidate robot paths against reachability, collision risk, motion quality, torch angle, and cycle time.
Read the project briefMechanisms, music, manufacturing, cognitive science, and AI systems.
Cursed regions, cognitive security, graph boundaries, agent environments, and physical AI.
Public resume variants for systems, research, security, and physical-world ML.
Fragments and working principles on design, intelligence, attention, work, and narrative.
Make the environment truthful before asking the model to improve.
Post-training depends on state, tools, traces, verifiers, and localized feedback.
Verifier-backed AI systems for expert workflows where failure has a real cost.
Self, ground, ascent, and why alignment keeps returning to ancient metaphysical forks.
Why attention needs a motivational vector—and why instinct or reason alone cannot orient a mind beyond what it already knows.
When perception is partial, narrative bridges what we see, what we infer, and what we are prepared to believe.
Harmony, analogy, narrative, and the structures through which we make sense of the world.
How James Clerk Maxwell joined disciplined analogy, philosophical caution, and scientific faith.