Prabin Rath
Graduate Research And Teaching Assistant
Tempe, Arizona, United States
Summary
👤
Senior🎓
Top SchoolPrabin Rath is a robotics-focused researcher and software engineer with nine years of experience bridging academic robotics research and production-grade MLOps. Currently a Graduate Research and Teaching Assistant at Arizona State University and a PhD candidate in Computer Science, he works on robot learning and procedural synthetic data to help robots "learn the basics." His background includes building scalable ML infrastructure at Experian and hands-on perception and control research roles at institutions such as the University of Calgary and IIT Kharagpur. Prabin combines practical software engineering—experience at Wells Fargo and in industry internships—with academic rigor in robotics and autonomous systems. Based in Tempe, Arizona, he brings a rare blend of MLOps discipline and robotics experimentation, often focusing on realistic synthetic data generation to accelerate embodied learning.
9 years of coding experience
4 years of employment as a software developer
CBSE Board, CBSE Board at St. Xavier's High SchoolDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Arizona State UniversityCBSE Board Physics Chemistry Maths Computer English, CBSE Board Physics Chemistry Maths Computer English at Mother's Public SchoolBachelor of Technology - BTech Computer Science and Engineering, Bachelor of Technology - BTech Computer Science and Engineering at National Institute of Technology Rourkela
English, Hindi, Odia
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (47)
occupancy-grid-map9
pcl9
point-cloud9
cpp8
data-science7
pytorch7
point-cloud-library7
machine-learning7
robot7
ros7
python7
computer-vision7
urdf6
deep-learning6
localization6
Programming languages (4)
Github contributions (5)
prabinrath/prabinrath
Apr 2022 - Jun 2026
Contributions:15 pushes, 1 branch in 4 years 3 months
prabinrath/fist_lab_arm
Dec 2020 - Mar 2025
Robotic arm experiments for dynamic end effector stabilization, RL-based motion planning, and grasping. The project is under Computer Science and Engineering Department, NIT Rourkela.
Contributions:1 PR, 6 pushes, 3 branches in 4 years 2 months
motion-planningroboticsgazeborobotic-armros
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