• On ML Exploration, helped ship the integration of Flyte (OSS project from Lyft used to orchestrate training jobs) with existing Stripe ML infrastructure. Was responsible for integration with inference infrastructure.

• Collaborated with Python team, ML Serving, and Batch Computation to enable the use of consistent dependency universes throughout the ML dev workflow.

• Mentored senior new hire and, on my departure from the team, passed on roadmap for improving the Flyte user experience at Stripe.

• On ML Serving, redesigned model deploys to be safer (e.g., use blue green deploys and default healthchecks for every model).

Took a 3mo leave in 2024.

At NEA/a16z-backed startup, completed migration from postgres 10 to 13 and data security project for Kroger. Investigated database migration issues, mentored intern on internal tools project to improve database migration testing workflow, and scoped follow-on project to repurpose some of this work to provide product engineers with more realistic development data.

As a ML Platform team member, led 2 projects (worked on by 4 others) to revamp jupyter notebook tooling, the latter of which is used by 300+ employees for ML prototyping and data exploration. On previous teams, worked on the ML feature generation system, worked on a revamp of the devboxes (that continue to be used by all product/data engineers at Stripe), built a related tool for demoing UI changes, and worked on rolling out more granular permissions for the Stripe dashboard. Helped a new hire get started on ML Platform and mentored interns during the summers of 2019 and 2020. Started as new grad, promoted twice to L3/senior.

Advised by Christopher Re.

Published at a top-tier database conference, SIGMOD 2016: https://dl.acm.org/citation.cfm?doid=2882903.2915213

Code: https://github.com/HazyResearch/EmptyHeaded

CS103: Mathematical Foundations of Computing