On land
At Airbnb, I build tools that help people investigate data, evaluate AI, and test their assumptions. I work closely with legal, policy, and other domain experts to define the questions, develop methods, and build the software to investigate them.
My background spans analog circuit design, algorithms, and data science.
How we built Insight Miner at Airbnb: an agent harness that helps domain experts investigate unstructured text and evaluate AI through shared, reproducible scientific methods.
Read the articleDynamic Stability · Essay
A practical guide to making AI a better collaborator in engineering and science: giving it the tools and context it needs, learning from its failures, and rethinking where your own effort belongs.
Read the essayIndependent product
Foil Run started with algorithms I wrote to compare foil gear. It’s grown into my dream app for understanding our riding, bringing together measurements and riders’ own observations to study gear and performance. It’s also my benchmark project for new AI models and tools: I put each release to work on something I use and care about.
Case study
A specialist company’s product knowledge was scattered across emails, chats, and product documentation. I built a support tool that brings that knowledge together and drafts replies for expert review, preserving their judgment and voice.
Read the case studyHow coordinating AI coding agents into a small fleet turned nights-and-weekends tinkering into shipped products, Foil Run among them.
Using coding agents to organize journal entries, review decisions, and revisit recurring patterns.
Journaling project on GitHub