I research and build multi-agent AI systems, currently working on multi-agent coordination, continual learning memory, and RL-ready evaluation sandboxes for AWS DevOps Agent with a team of scientists I lead across Seattle, San Francisco, and New York. Before that, I spent 8 years in Amazon Advertising building bidding algorithms, incrementality measurement, and recommender systems that optimized over $1B in global ad spend across Google, Meta, and YouTube.
Outside of work, I buy more books than I will ever read, enjoy planning trips far more than taking them, and chase the perfect cup of tea.
I write here about things I am learning.