Computer Science @ Carnegie Mellon
- 04/15/2021: I'll start my Ph.D. in Fall 2021 at UT Austin advised by Prof. Scott Niekum.
- 12/10/2020: Defended my master's thesis at CMU.
AboutPreviously, I was a Master’s student in Computer Science (2019-20) at the School of Computer Science, CMU where I worked at Robot Perceiving and Doing lab adviced by Prof. David Held. I am interested in Reinforcement Learning algorithms and currently investigating how we can ensure safety in presence of approximation errors and model uncertainty.
In the summer of 2020, I worked on Imitative Motion Planning at Uber ATG . I worked on Reinforcement Learning for large action spaces during my prior internship at NVIDIA and spent some time at ETH Zurich working on Semantic Segmentation. Prior to this, I received my Bachelor’s degree from the Department of Computer Science at the Indian Institute of Technology, Kharagpur. My studies at IIT Kharagpur were supported by the Aditya Birla Scholarship (2015-19). I spent most of time at IIT Kharagpur working on Autonomous cars at the Autonomous Ground Vehicle Lab under supervision of Professor Debashis Chakrvarty. I worked on the perception and planning module, working on Lane Detection, Frenet Planner, Hybrid A* Planner and Segmentation. I completed my bachelor thesis on Safe Reinforcement Learning with Prof. Pabitra Mitra. In my spare time, I enjoy playing badminton, hiking and traveling around the world.
Here are some of the projects I have worked on:.