Saurabh Saxena

Staff Research Engineer at Google DeepMind

Mountain View, California, United States
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Summary

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Rockstar
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Top School
Saurabh Saxena is a Staff Research Engineer based in Mountain View with 12 years of experience building generative image and video models and applied computer vision systems. He has progressed through multiple engineering roles at Google—contributing to TensorFlow, pioneering front-end web efforts, and later advancing Google ML—before joining DeepMind to focus on research-grade ML infrastructure and models. Trained at IIT Kanpur with a master’s in Computer Science and Engineering, he blends rigorous academic grounding with production-driven engineering at scale. Colleagues describe him as someone who moves seamlessly between research prototyping and production deployments, often surfacing practical optimizations that aren’t obvious from papers alone.
code12 years of coding experience
job6 years of employment as a software developer
bookIndian Institute of Technology Kanpur
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Github Skills (39)

representation-learning10
python10
machine-learning10
ml10
unsupervised-learning10
deep-learning10
tensorflow10
self-supervised-learning10
deep-neural-networks10
neural-network10
contrastive-learning10
computer-vision9
bayesian-methods8
rgb8
angular8

Programming languages (6)

TypeScriptC++CJupyter NotebookPythonDart

Github contributions (5)

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Contributions:14 pushes, 1 branch in 4 years 9 months
saxenasaurabh/community

Aug 2018 - Sep 2018

Stores documents used by the TensorFlow developer community
Contributions:17 pushes in 28 days
developer-communitystorestensorflow
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