Avi Singh
Research Scientist at Google DeepMind
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolAvi Singh is a research scientist with 12 years of experience specializing in deep reinforcement learning, robotics, and large language models, currently working at Google DeepMind in San Francisco. His trajectory spans academic rigor—PhD work at UC Berkeley under Sergey Levine—and industry research roles at Google Brain and X, where he led scalable multi-task imitation learning and published at ICRA and CVPR. Avi blends hands-on systems and algorithmic work across perception, control, and language, translating robotics expertise into RL approaches for LLMs. He is comfortable operating at the intersection of foundational research and practical, publishable results, with a track record of multi-task and vision-language projects that scale to real-world complexity.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at University of California, BerkeleyIndian Institute of Technology Kanpur
English
Github Skills (73)
python10
robotics10
visual-odometry10
deep-reinforcement-learning10
visual-question-answering10
recurrent10
pytorch10
hierarchical10
reward10
lstm9
pybullet9
deep-learning9
dedicated9
machine-learning9
keras9
Programming languages (5)
Github contributions (5)
avisingh599/avisingh599.github.io
Jul 2014 - Feb 2022
Contributions:121 commits, 1 PR, 107 pushes in 7 years 8 months
webpage
avisingh599/roboverse
Sep 2020 - Mar 2021
A set of environments utilizing pybullet for simulation of robotic manipulation tasks.
Contributions:140 commits, 1 PR, 2 pushes in 6 months
manipulationroboticspybulletrobotic-manipulationsimulation
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