Rohith Peddi
San Francisco, California, United States
Summary
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SeniorRohith Peddi is a PhD candidate and Graduate Research Assistant at UT Dallas with nine years of industry and research experience building neuro-symbolic, multi-modal systems for 3D scene understanding and robot imitation learning. He designs perception architectures and real-time task-guidance systems that fuse vision, language, and audio with probabilistic reasoning, and has driven diffusion-based and test-time adaptation techniques to improve robustness under distribution shifts. His work on relational anticipation, long-tail learning, and monocular-to-4D generative models has led to high-profile publications including CVPR (Highlight), ECCV (Oral), NeurIPS, and IROS (Oral). Prior to research, he built scalable backend platforms and real-time services at startups, giving him a rare combination of production engineering and cutting-edge ML research skills. Based in Dallas, he brings practical systems experience (PyTorch, CUDA, ROS, Isaac Gym) to foundational video–language and graph-based dynamic scene models. A subtle throughline in his profile is translating human interaction priors into robot-specific skill transfer, bridging interpretability and actionable robotic behavior.
9 years of coding experience
Github Skills (11)
docker8
golang8
scene-graph7
go7
container6
ecosystem6
assemble5
moby5
retrofit1
dependency-injection1
dagger1
Programming languages (5)
Github contributions (5)
cpclass/TicTacToe
Mar 2017 - Jun 2017
Contributions:52 PRs, 97 pushes, 31 branches in 2 months
rohithpeddi/UTD_CS
Aug 2020 - Sep 2022
Contributions:20 commits, 16 pushes, 1 branch in 2 years 1 month
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