Authorization Core (Google-wide) Infrastructure

My team runs Google Authorization Infrastructure, which serves critical privacy needs for the majority of Google clients across product areas, including Ads, Search, Youtube, Geo, Drive, Cloud, and ML/AI teams. Specific work has been on problems related to data consistency, index freshness, graph traversals/optimizations to enable efficient and accurate access-controlled search and data at Google-scale.

Tensorflow Team (tf.data) in Google ML (Machine Learning Data Processing, ML API Development)

I worked on ML infrastructure, particularly round last mile data processing, designing and implementing new APIs for deterministic training, and collaborating with teams across Google's ML space.

YouTube Kids Corpus Team (Backend Data Infrastructure in C++)

This team ran Kids Content Infra across YT (Kids App and YT mean). I personally managed pipelines which classified XXB+ YT entities and determined which could be safe to shown to kids. Primary work was backend infra, but also involved collaborations with ML teams and feature development teams, and included work on several time-sensitive user-facing launches.

Gmail Ads Quality (Applied Machine Learning and Data Science)

I worked primarily on ads targeting and modeling, training new models for optimized ads targeting within Gmail, introducing and analyzing new demand types, and doing feature extraction/analysis for Gmail Ads ML models.

Summer Analyst in Finance during Summers of 2016 & 2017