Worked on next-generation pub/sub infrastructure, with a focus on distributed systems engineering.

Led engineering projects for App Ads, which uses machine learning to build ads, optimize bids, and target the right users. Designed and built online and offline components to expand the business into new areas, with an emphasis on uncovering and serving user needs under tight resource and UX requirements.

Designed and implemented features to support bidding on cross-exchange ad inventory. Wrote latency-critical code for global-scale services and pipelines, with an emphasis on performance and resource efficiency. Built and maintained petabyte-scale data pipelines for experiment analysis and realtime serving.

Designed audio/video analysis tools to help improve screen-off listening experience for YouTube Music.

Assisted in the execution of CS 4820 - Algorithms. Course content includes greedy algorithms, dynamic programming, NP completeness, and turing machines.