Ravi Pandya
Machine Learning Research Scientist at Nuro
United States
Summary
👤
Senior🎓
Top SchoolRavi Pandya is a PhD candidate in AI/Robotics at Carnegie Mellon University, focusing on foundational methods for safe and reliable AI/ML systems and their application to human-robot and human-AI collaboration. His research spans core techniques in LLMs, reinforcement learning, and trajectory forecasting, aiming to build trustworthy AI for real-world interaction. With a background in Electrical Engineering and Computer Sciences from UC Berkeley and industry experience as a Data Scientist at Ericsson, he bridges theoretical rigor with data-driven engineering. Since 2020 he has been advancing robotics research at CMU, complemented by earlier roles as an undergraduate researcher at UC Berkeley and a software engineering internship at Doximity. He brings nearly a decade of experience across academia and industry, and his work emphasizes safe deployment and auditable AI systems in collaborative settings.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS, Electrical Engineering and Computer Sciences, Bachelor of Science - BS, Electrical Engineering and Computer Sciences at University of California, BerkeleyPhD, Robotics, PhD, Robotics at Carnegie Mellon University
Github Skills (23)
reinforcement-learning9
parallel9
optimization9
ray9
python8
deep-learning8
hyperparameter-optimization8
machine-learning8
scaling8
java8
large-language-models8
pytorch8
data-science8
llm7
llm-inference7
Programming languages (2)
Github contributions (5)
rpandya922/rpandya922.github.io
May 2016 - Mar 2025
Contributions:24 pushes, 1 branch in 8 years 11 months
rpandya922/human_ergo_estimation
May 2017 - Sep 2017
Contributions:95 pushes, 1 branch in 3 months
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