Nikhil Mehta
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolNikhil Mehta is an AI research scientist with nine years of experience blending deep learning research and production-scale ML at top labs, currently at Meta after leading generative retrieval and personalization work as a Staff Research Scientist at Google DeepMind. He holds a PhD in Deep Learning from Duke and spent formative years as a graduate researcher at iiD, with internship stints at Google Brain and Meta FAIR that bridged theory and systems. At DeepMind he invented Semantic IDs for generative retrieval, contributed to Gemini’s multimodal and personalization efforts, and helped deploy large recommender models that powered dozens of launches at YouTube. Based in the San Francisco Bay Area, he pairs probabilistic ML and generative modeling expertise with a strong product-oriented track record of improving core metrics in real-world systems. An occasionally overlooked strength is his background in applied engineering from early roles at Zomato and IIT Kanpur, which gives him uncommon fluency in moving ideas from prototype to production.
9 years of coding experience
8 years of employment as a software developer
Master of Science - MS, Computer Engineering, Master of Science - MS, Computer Engineering at Duke UniversityBachelor of Technology (B.Tech.), Computer Software Engineering, Bachelor of Technology (B.Tech.), Computer Software Engineering at Delhi College of Engineering
Github Skills (14)
pipeline8
machine-learning7
kubeflow-pipelines7
statistics6
bayesian-methods6
kubeflow6
data-science5
tekton5
kubernetes5
kedro5
deep-learning4
mlops4
probabilistic-programming4
tensorflow4
Programming languages (2)
Github contributions (5)
google/nitroml
Jun 2020 - Aug 2020
Contributions:140 commits in 2 months
nikhil-dce/Supervoxel-3D-Registration
Dec 2016 - May 2017
Contributions:36 commits, 10 pushes, 1 branch in 4 months
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