About

Multi-Avocado and Multi-Mango at Meta Superintelligence Labs.

Previously, I worked on Visual Intelligence at Apple Siri, and interned at MIT-IBM Watson on synthetic data and model training. I hold a Ph.D. in Computer Science from MIT and a B.A. in Physics with a minor in English from UC Berkeley. Outside of work, I read, write, and hike.

Selected Research

Featured · arXiv 2025

Synthetic Data RL: Task Definition Is All You Need

Reinforcement fine-tuning from a task definition alone — synthesize the data, adapt the difficulty, train with RL. No labeled dataset required.

Recent Essays

Jul 2026Intelligence per Watt: Nobody Got Rich Owning the GridAI
The race quietly stopped being about how smart models are and became about how cheaply smart they are. That changes where all the money goes.
May 2026What Machines Can't StakeAI
Machines compute. Humans commit. The difference is not intelligence — it is what you are willing to wager when the evidence runs out.
Apr 2026Agent Topology Follows Task, Not TemplateAI
Hierarchical multi-agent systems import human coordination constraints into a substrate that doesn't have them. The evidence, the mechanism, and the alternative.

All essays →