Vaibhav Aggarwal is a tech leader and applied ML specialist with nine years of experience building production-grade computer vision, representation learning, video and 3D ML systems across Google and Meta. He currently leads Applied ML for Google EdgeTPU working on Gemini and Bard integrations and previously managed research engineering teams at Facebook AI Research’s Computer Vision lab. His background spans large-scale geo perception, spatial clustering and cloud-distributed systems from roles on Google Maps and AWS, giving him a rare blend of research rigor and production engineering taste. Trained at IIT Guwahati, University of Michigan (MS, 4.0 GPA) and Stanford (AI certificate), he pairs strong academic performance with hands-on leadership. An understated strength is his track record of moving cutting-edge ML research into scalable infra and product features across consumer-facing platforms.
9 years of coding experience
13 years of employment as a software developer
Bachelor’s Degree, Computer Science, 7.93 / 10.0, Bachelor’s Degree, Computer Science, 7.93 / 10.0 at Indian Institute of Technology, Guwahati
Master’s Degree, Computer Science, 4.0 / 4.0, Master’s Degree, Computer Science, 4.0 / 4.0 at University of Michigan
Contributions:4 PRs, 8 pushes, 5 branches in 7 days
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Vaibhav Aggarwal - Applied ML, Google EdgeTPU - Tech Lead at Meta