about
I started in engineering, crossed into product, and ended up spending most of my time on agentic systems and the evals that keep them honest. That's the loudest part of my work right now, but not the only part — I've shipped across checkout, identity, and commerce at scale, and I care a lot about the unsexy stuff like measurement, trust, and what “working” actually means in production. Outside of work, I run half-marathons (slowly, happily), read more than is probably reasonable, and have a well-documented soft spot for elephants.
work
download resumespeaking & recognition
writing
Notes and essays, filed by subject. Click a folder to open it.
poloclub.github.io
Transformer Explainer
The goal is not to build AI that does what we say, but AI that does what we mean.…
lilianweng.github.io
LLM Powered Autonomous Agents
blog.pragmaticengineer.com
The Product-Minded Engineer
A product is a promise of value to be delivered, a commitment to solve a real problem.…
svpg.com
Product Discovery
frankchimero.com
The Shape of Design
Design is not just what it looks like and feels like. Design is how it works.…
alistapart.com
Dao of Web Design
paulgraham.com
How to Do Great Work
The unexamined life is not worth living.…
fs.blog
The Map is Not the Territory
bookmarks
Evals are the AI buzzword for 2026. This article is foundational.
Chip Huyen on the gap between demos and production. The most grounded take on evaluation I've found.
This article played a big role when I decided to switch to product management. Good framing for PM-eng collaboration.
PG at his most earnest. The advice about following your curiosity over prestige is the one I keep coming back to.
Lilian Weng's definitive survey of LLM agent architectures. Dense, precise, worth re-reading every 6 months.
Sutton's argument that general methods leveraging compute always win. Required reading before any architecture debate.