Ankit Jain
Senior Research Manager, Generative AI
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolAnkit Jain is a senior research and engineering leader with 11 years of experience building production AI systems that learn, remember, and adapt to users, currently leading personalization and alignment efforts for LLMs at Meta toward a “Personal SuperIntelligence.” He has led large multimodal teams across voice, vision, safety, and inference, and previously shipped generative features on Instagram such as Imagine and AI Stickers using RLHF/DPO and RAG pipelines. Before Meta, he was a senior research scientist at Uber AI applying graph representation learning and time-series forecasting at scale, and co-founded a CV startup that was later acquired. Based in San Francisco, he combines deep academic training from IIT Bombay and UC Berkeley with hands-on deployment experience across PyTorch/TensorFlow, large-scale data platforms, and MLops. He also invests in and advises ML startups, bringing product-oriented technical guidance as well as operational know-how. A not-obvious detail: his background includes leading high-stakes field engineering operations early in his career, giving him atypical experience in operating complex systems under pressure.
11 years of coding experience
14 years of employment as a software developer
Masters Engineering, Masters Engineering at University of California, BerkeleyIndian Institute of Technology BombayExecutive Education Leadership and Strategy, Executive Education Leadership and Strategy at Harvard Business School Online
Github Skills (29)
graph-convolutional-networks8
pytorch8
geometric-deep-learning7
graph7
deep-learning7
graph-neural-network7
san6
kernel-methods5
autoencoder5
stochastic5
representation-learning5
assembly4
machine-learning4
neural-network4
graph-embedding4
Programming languages (1)
Github contributions (5)
ankitjain451/SelfDrivingCarNanoDegree
Dec 2016 - Mar 2017
Contributions:10 commits, 9 pushes, 1 branch in 2 months
ankitjain451/Machine-Learning-With-Tensorflow
Jun 2018 - Nov 2018
Contributions:36 pushes, 1 branch in 5 months
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