Mohit Shridhar
Research Scientist at Google DeepMind
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolMohit Shridhar is a research scientist and roboticist with 12 years of cross-disciplinary experience at the intersection of NLP, computer vision, machine learning, and human-robot interaction. He has progressed from internships at Meta, NVIDIA, and Microsoft to research roles at Dyson and now Google DeepMind, focusing on robot learning and embodied AI. Mohit holds advanced degrees from the University of Washington and a computer engineering background from NUS, combining strong academic training with hands-on lab and industry work. He specializes in building systems that let robots interpret language and visual context to act in the real world, and his career shows a steady trajectory toward melding perception, reasoning, and control. Based in London, he blends deep research rigor with practical deployment experience across leading AI and robotics teams.
12 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of WashingtonNUS Overseas College, NUS Overseas College at Stanford UniversityBachelor's Degree Computer Engineering, Bachelor's Degree Computer Engineering at National University of Singapore
Github Skills (58)
benchmark10
robotics10
solver10
benchmarking10
alfred10
manipulation10
clip10
computer-vision10
uncertainty10
planning10
pytorch9
meta-learning9
natural-language-processing9
generalization9
deep-learning9
Programming languages (7)
Github contributions (5)
cliport/cliport
Sep 2021 - Jun 2022
CLIPort: What and Where Pathways for Robotic Manipulation
Contributions:1 release, 87 commits, 51 pushes in 9 months
manipulationroboticspathwayspybulletclip
alfworld/alfworld
Sep 2020 - Oct 2021
ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
Contributions:1 release, 345 commits, 4 PRs in 1 year
interactive-learningenvironments
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