Technical lead on ML Platform's Data team

Key contributions: Large scale distributed data serving; Unified feature access control, compliance and governance; Feature Engineering for machine learning

Designed and developed core caching component of a new logging pipeline. Identified issues and improved components of Lyft's logging pipeline to reduce on-call by 80%.

Developed a novel streaming classification system supporting structural inference

Built out an analytics ingestion platform to run experiments designed to increase the number of rides and boost engagement on the platform

Collaborated with PM and cross functional teams to create a long term high impact roadmap for team

Mentored multiple junior engineers from interns to FTE