I work on data platforms, infrastructure, and AI data enablement.

I’m most interested in systems that make data easier to trust and easier to use. That usually means working a little below the product surface: infrastructure, storage and retrieval layers, distributed systems, and the interfaces between them.

I like engineering work that deals with big data and systems at scale. I’m drawn to clearer abstractions, more reliable systems, better infrastructure around data storage and retrieval, and the kinds of foundational improvements that make data more usable.

Lately I’ve been working on AI infrastructure for data discovery and agent visualizations, and I’m increasingly interested in AI data enablement more broadly. I’m interested not just in models, but in the systems around them: retrieval, trust, usability, and the practical work needed to make them useful.

I also like hackathons and have won two employee hackathons. Outside of work, I write occasionally, give talks when I have something worth sharing, and build side projects around things I find interesting or problems that get in my way.