I build software systems that learn from use.
Right now my main focus is Bountiful Garden, a neighborhood harvest-sharing network that turns backyard abundance into real community. I'm also building OpenClawBrain, a memory layer for long-running AI agents. Pelican is a private research system for autonomous options trading.
ML Engineer at Instacart. PhD Economics, UCLA. BA Statistics & Economics, UC Berkeley.
Your neighbor's Meyer lemon tree dropped 200 lemons last week. You want six. Bountiful is the bridge — post your harvest, browse what's ripe nearby, and grab it off the porch. A farmers' market that never closes, where every stall is someone on your block.
Standard retrieval starts with amnesia every session — same query, same results, even when those results failed yesterday. Brain keeps a scorecard, re-shelves the library after every run, and compounds what it learns. The hundredth query is sharper than the first.
A research system for autonomous options trading. Pelican watches the market, builds its own features, trains fresh models, and sizes positions — all without a human in the loop. Private infrastructure; notes available on request.
Machine Learning Engineer
At Instacart I build production ML systems that make real-time decisions at scale across inventory, promotions, and ads. Before that I did a PhD in economics at UCLA, where I spent years thinking about incentives, learning, and dynamic systems.
I'm especially interested in conversations about agent infrastructure, applied ML systems, and local-first product design.