As the Modeling and Ranking Tech Lead, I drive the strategy and execution for the Recommendation Systems and Discovery Experience across Community Products (including Posts, Communities, and Comments). My core focus is ensuring the performance, quality, and reliability of user-facing ranking models to deliver better user experience on YouTube.

* Founding Lead Engineer for the Google Ads Data-Driven Attribution (DDA) Model.

* Designed and built the scalable machine learning framework that powers cross-surface (Search, Display, YouTube) attribution.

* Mentored engineers and data scientists to deliver solutions that led to X% Google revenue growth.

* Winner of Google Ads High Impact Award (H2 2021).