Rohin Garg
Machine Learning Engineer at Scale AI
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolRohin Garg is a Machine Learning Engineer based in New York with eight years of experience building ML systems for physical AI, robotics, and autonomous vehicles. He has combined research and product work—from improving GAN diversity at Berkeley AI Research and intent-aware recommendation models at Adobe to deploying trajectory-generation and multi-agent planning systems at Cruise and Scale AI. Rohin’s strengths are bridging theory and production: designing custom losses for uncertainty estimation, fine-tuning large models, and scaling autoregressive driving models on large datasets. His background in EECS (IIT Kanpur) and an MS in Computer Science and Robotics (UC San Diego) underpins a practical focus on real-time perception, trajectory prediction, and robust multi-agent behavior. Notably, he has repeatedly tackled catastrophic forgetting and OOD detection in generative and control settings, showing a pattern of solving subtle failure modes that emerge when models go from lab to road.
8 years of coding experience
4 years of employment as a software developer
University of California, San DiegoIndian Institute of Technology Kanpur
English, Hindi, Japanese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (17)
fine-tuning7
convolutional-neural-networks6
caching4
algorithms4
text-classification4
paper4
generative-adversarial-network4
deep-learning3
computer-vision3
ros-node3
pytorch3
collapse3
jetson2
visualizations2
haskell1
Programming languages (4)
Github contributions (5)
gargrohin/Visual-Recognition
Jun 2019 - Jan 2022
Contributions:8 commits, 7 pushes, 2 branches in 2 years 6 months
gargrohin/gargrohin.github.io
Aug 2019 - Jul 2026
Contributions:48 pushes, 2 branches in 6 years 11 months
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