Parv Kapoor
Graduate Research Assistant
Pittsburgh, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolParv Kapoor is a Ph.D. candidate and Graduate Research Assistant at Carnegie Mellon University with nine years of experience building safe and robust robot learning systems that blend control theory, reinforcement learning, imitation learning, and constrained foundation models. Advised by Sebastian Scherer and Eunsuk Kang, he applies software engineering rigor to assured robotics and has recently shifted focus to large action models and embodied AI. His internships at Scaled Foundations and Microsoft involved conditioning and aligning foundation models and improving long-horizon reasoning in transformer architectures, respectively. Parv’s background spans academic collaborations across VERIMAG, USC, and Cardiff and hands-on drone and avionics work dating back to AeroMIT, reflecting a rare mix of theoretical depth and practical deployment experience. He maintains an active research presence and shares work at parvkpr.github.io.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at Manipal Institute of TechnologyDoctor of Philosophy - PhD, Computer Software Engineering, 4.06/4.00, Doctor of Philosophy - PhD, Computer Software Engineering, 4.06/4.00 at Carnegie Mellon University
Github Skills (20)
logistics7
decision-making6
reinforcement-learning6
monte-carlo-tree-search5
sequence5
deep-reinforcement-learning5
machine-learning5
pytorch4
deep-learning4
tensorflow4
autonomous-driving4
evolution3
self-driving-car3
mobilenet3
realtime2
Programming languages (4)
Github contributions (5)
parvkpr/Simple-A2C-Pytorch-MountainCarv0
Jan 2020 - Jul 2020
Contributions:8 commits, 7 pushes, 1 branch in 6 months
cmu-soda/cmu-soda.github.io
Feb 2024 - Jan 2025
Soda lab website
Contributions:4 PRs, 12 pushes, 1 branch in 10 months
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