Responsible for design, development and operations of AI inference platform for Meta’s monetization. Focussed on infra problems across efficiency, scalability, reliability and dev-efficiency of the platform. Help set long term direction for ML inference including custom hardware, new modeling techniques, infrastructure investments etc. Mentoring and providing technical guidance for a team of 100+ engineers.

• Built data infrastructure for the company from ground zero on Google cloud platform.

[Ingestion, storage, querying, processing, adhoc analysis frameworks, visualization, ci/cd]

• High level autonomy frameworks and modules for Kittyhawk Flyer

[Vehicle messaging/pub-sub, path planning, ground control software, large scale log replay with sim in cloud]

• Over the air software update infrastructure for vehicles.

Scaling Twitter revenue from $150M to >$2B annually. Primary focus on systems infrastructure for ad serving. Responsible for reliability, scalability and performance of core ad delivery. Significant contribution to ads architecture, design and implementation, direction for revenue engineering/product roadmap. Part of Twitter Architecture Group which oversees overall technology usage, engineering discipline and big engineering investments.

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