Jagdeep Bhatia
Researcher at MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)
New York City Metropolitan Area United States
Summary
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Senior🎓
Top SchoolJagdeep Bhatia is a researcher and engineer with nine years of experience at the intersection of robotics, planning, and embodied intelligence, currently building DexHub at MIT CSAIL to scale robot data collection using only an Apple Vision Pro. He has a strong track record of turning research into tools and products—co-founding an LLM-powered research assistant startup and open-sourcing Evolution Gym, the first large-scale toolkit for designing and training soft robots (NeurIPS 2021). His work spans theoretical contributions (JMLR first author on data-efficient ML) to practical systems improving production pipelines (a model and vector DB at Scale AI that cut costs and model size). Jagdeep combines skills in hierarchical planning, diffusion-based trajectory optimization, and domain adaptation for vision, demonstrating both algorithmic depth and production impact. Based in the New York City area, he’s enrolled in advanced studies (MEng at MIT and a PhD at UC Berkeley) while continuing hands-on research at CSAIL. An unconventional detail: he built a platform that leverages a consumer AR device (Apple Vision Pro) as the sole requirement for large-scale robot data collection, signaling a focus on accessible, scalable robotics research.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of California, BerkeleyMasters of Engineering, Masters of Engineering at Massachusetts Institute of TechnologyHigh School Diploma, High School Diploma at Watchung Hills Regional High School
English, Spanish, Punjabi
Github Skills (43)
robotics9
simulation9
deep-reinforcement-learning9
d3js8
reinforcement-learning8
evolution8
mujoco8
benchmark8
design-tool8
isomorphic7
large-scale7
svg7
scale7
react6
charts6
Programming languages (9)
Github contributions (5)
EvolutionGym/evolutiongym.github.io
Jan 2022 - Oct 2022
Contributions:25 commits, 4 PRs, 23 pushes in 8 months
EvolutionGym/evogym
Jan 2022 - Jan 2022
A large-scale benchmark for co-optimizing the design and control of soft robots, as seen in NeurIPS 2021.
Contributions:1 release, 12 reviews, 15 commits in 3 days
roboticsneurips-2021reinforcement-learningneuripsgym-environment
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