Helping Instagram teams and leadership understand & manage datacenter capacity.

Leading a workstream to reduce the capacity cost associated with analytical logging with more than $100M in savings.

Helping teams work more efficiently with internal product infrastructure and open source tools such as GraphQL & React.

Improving analytical tools and our data foundations for video and voice calling.

Developed new software and data structures for creating, manipulating, and storing the intended Hamiltonians for our quantum integrated circuits.

Restructured disparate internal data sources into a single production Postgres instance, enabling automated studies of how fabrication/design changes impact performance.

Proposed two new types of test structures & calibration procedures which significantly improved manufacturing fidelity.

I built a data ingestion, modeling and prediction pipeline for predicting the yield, power and performance based on process varieties and in-line measurements for key products on our next-generation process node. This included a full-stack web application for self-service analysis by the Yield & Product Engineering teams.

I drove cross-product yield modeling and predictions on Intel's next-generation process node. I enabled product owners from divisions across Intel to perform exploratory yield analysis by developing a database-backed suite of modeling tools.