I'm a software engineer interested in systems and how they influence the shape of software.
I currently work on ML Infrastructure at Affirm and live in San Francisco.
My motivation is to build software that has a material impact on how people explore ideas.
Work
I joined Affirm with the impetus of working on ML and data problems at scale. My core contributions include:
Developing a new ML inference stack for transformers and other model types.
Leading early designs of Affirm's ML feature store, focusing on offline backfills over 100 TB+ data and latency forecasting for online flows.
Redesigning Affirm's experimentation platform, one of our largest surface area services, to support 1B+ daily evaluations while preserving core analytical models.
Prototyping AI assistants for customer support back in early 2023, later leading to the development of a new ML team.
Building streaming infra that powers risk calculations for every Affirm Card user.
And other fun stuff: writing interview questions, scaling teams, BFCM on-call shifts.
Prior to Affirm, I worked on systems at NASA JPL and research at Brown University.