I currently manage 9 engineers (System Generalists and Machine Learning Experts) on the Auction and Delivery Mechanisms team, which is responsible to build holistic mechanisms on value, cost, and pricing across multiple ads delivery stages to optimize the advertiser value.

I have led a team of Research Scientists from Central Applied Science focused on applying and improving the de facto AutoML tool at Meta. Among other things, the broader team created and manages the open source tools Ax and BoTorch. The team has been able to drive millions of Dollars in revenue, save MWs of CPU consumption, and drive up engagements and sessions across our Family of Apps.

I lead a team of 7 Applied Research Scientists in tackling long-term research problems and enhancing the efficiency of the ads auction and delivery system. The changes the team made in our ads system generated over a billion Dollars per year in incremental revenue to the company.

I was the DS Lead (interim Director) for the Core Delivery Product area, overseeing around 130 Engineers and numerous cross-functional partners, effectively managing products that influence the majority of the company's ad revenue.

I also led the first multi-year Ads strategy (starting with Optimization), which is now the standard across all teams on Ads. Also pioneered the strategy using incremental revenue, which is now the most important top line metric in Ads and across many other organizations.

The team successfully innovated and revamped products that cumulatively generate billions of dollars annually.