Summary
Amey Dharwadker is an engineering leader with 12+ years of AI/ML experience, currently heading Video Recommendations engineering at Meta where he drives large-scale neural recommender systems that influence billions of users. He combines hands-on modeling and product impact—authoring innovations in attribution and embedding-based ranking that measurably improved engagement and ad revenue—to set strategy and mentor cross-functional ML teams. His background spans industrial computer vision for ADAS to top-tier academic training (MS EE, Columbia, 4.0 GPA), giving him a rare mix of low-level implementation expertise and high-level systems design. An active peer reviewer, program committee member and speaker, he shapes the research-to-production pipeline for recommender systems across major conferences. Outside Meta he advises startups, mentors at hackathons and serves on juries for global innovation awards, reflecting a commitment to nurturing the next generation of ML talent.
12 years of coding experience
7 years of employment as a software developer
Bachelor of Technology, Electronics and Communication Engineering, Bachelor of Technology, Electronics and Communication Engineering at National Institute of Technology Tiruchirappalli
Master of Science (M.S.), Electrical Engineering, 4.0/4.0, Master of Science (M.S.), Electrical Engineering, 4.0/4.0 at Columbia University in the City of New York