I think things up.
Then I build them.

I build data systems and AI-driven tools: pipelines that move in the background, and agents that take on the kind of work that used to need a whole team.

My background is in cognitive science, and to be honest, I don't feel I've really left it. The questions that pulled me in then (the way people think, how people make decisions) are the same ones I'm still working with in code. You could say that data analysis and engineering just gave me a more empirical way to test the answers.

These days, I use generative AI the way you'd use a research assistant: to dig up sources, test ideas, and tighten the writing on the way out. I always feel the need to stress that AI is a tool that augments my work, but it doesn't change what I'm trying to say.

During the day, you'll probably find me working on a new data pipeline or playtesting the latest LLM. Outside of work, I'm always trying to perfect my Americano, dabbling in astrophotography, or running Mythic+ keys in Azeroth.