Principal Software Engineer and TL in the Content and Communication Safety org, leading initiatives across ML, infrastructure, and product impact. Highlights include building a real-time automated game takedown system with strong precision, expanding automated image moderation coverage while maintaining quality, launching ML models for critical-harm conversation detection, creating unified ML infrastructure for training and feature engineering, and driving adoption of a shared ML monorepo.

Staff Software Engineer and TL in Ads ML Infra org. Co-founded a company-wide feature platform that became core infrastructure for Ads ranking and understanding. Designed and built foundational components—including compilers, optimizers, streaming pipelines, and backfill engines—that powered sophisticated ML use cases across multiple teams.

Developed novel and practical techniques to diagnosing faults in distributed systems (example: Software-defined Networks). Research published at HotNets 2013/2015, SIGCOMM 2014/2016, CIDR 2017, and NSDI 2017/2019. Broadly, I do research in networking and distributed systems.

Core Systems. Location Aware Distribution team (distributed systems).

Mobility and Networking Research.