I currently do various things with machine learning and causal inference at Roblox. Most of my recent cycles have gone toward generative AI.
I used to do various things with data, statistics, and machine learning at Netflix, IBM Watson, Stanford (EE), and MIT (RLE).
I generally enjoy working at the intersection of data, algorithms, human creativity / content, and strategy.
I’m occasionally a talking head about various topics around AI and ML (TED radio hour, IMDB).
I’m deeply passionate about film and theater (mostly on the user side these days).
I like dogs and dark chocolate.
You can reach me at <my first name> at alum.mit.edu
Ephemeral code (and yes, agents)
Evals, tests, and LLM applications
Two quick takeaways from Karpathy’s talk