Swapnil Asawa is a software engineer specializing in autonomy with nine years of experience applying machine learning, computer vision, NLP, and reinforcement learning to real-world products. Currently at Aurora after contributing to Uber ATG’s prediction engineering, he has a strong research background including a spotlight ICML talk on domain adaptation in deep RL from work at CMU. Swapnil combines rigorous experimental design and cluster-scale experimentation with hands-on system development—from training DRL agents for robotic arms to generating synthetic humanoid motion and building recommendation systems. He holds an MS in Information Sciences (3.854/4) and has a proven track record of turning research insights into deployed algorithms that improve product decision-making. Notably, his Wipro R&D work yielded a high-accuracy simulated robotic arm and a patent-pending method for sequential learning paths, highlighting his ability to innovate across research and engineering.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering - BE, Bachelor of Engineering - BE at Netaji Subhas Institute of Technology
Graduate Courses taken with credits added towards University of Pittsburgh degree:, Graduate Courses taken with credits added towards University of Pittsburgh degree: at Carnegie Mellon University
Master of Science, Information Sciences, 3.854/4, Master of Science, Information Sciences, 3.854/4 at University of Pittsburgh
Contributions:7 pushes, 1 branch in 2 years 7 months
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Swapnil Asawa - Software Engineer(Autonomy) at Aurora