I'm a machine learning engineer with eight years across computer vision, multimodal learning, and recommender systems, most recently at Meta on Instagram Ads Ranking. Lately I'm most excited about multimodal LLMs, post-training, and evals.
I love building side projects, like artifold and rl-arcade, and I have a serious obsession with futbol.
Currently going deep on multimodal post-training and evals. what I'm up to now →
A local-first library for the stuff you make with AI. Index, search, preview, and share your work, then use your past output as the style guide for the next thing you build.
Published on PyPI, pip-installable
A gamified app that teaches reinforcement learning across six levels of PufferLib games, with interactive in-browser training, concept visualizations, and an XP system.
6 playable levels, train models live in the browser
An endless runner set in Old Delhi: dodge rickshaws, outsmart monkeys, grab samosas, and make it to the Red Fort. Playable on desktop and mobile.
What I learned wiring up a real-time pipeline that watches a soccer match, figures out what just happened, and commentates it back to you live.
Always happy to talk multimodal models, recsys, football, or whatever you're building.