Broadly, I am interested in reinforcement learning and control theory. Following my master thesis on competitive policy optimization, In my PhD i am exploring the fundamental ideas from game theory, control theory and utilising them for optimization in sequential decision-making problems for safe execution in the real world.
Education
- PhD Candidate at ETH AI Center, ETH Zurich (Oct/21 - Onwards)
- Working with Prof. Andreas Krause and Prof. Melanie Zeilinger
- Research area: Reinforcement learning and control theory
- M.Sc. Robotics, Systems and Control, ETH Zurich (Sept/17 - May/20)
- Master Thesis: Competitive Policy Optimization in Multi-agent Reinforcement Learning, GP: 6.0/6.0
- Sem. Project: Velocity estimation for an autonomous race car
- Overall GPA: 5.64/6.00
- B. Tech in Mechanical Engineering, IIT Madras (Aug/13 - July/17)
- Awarded: The Best graduating student Co-curriculars 2017
- Awarded: Sivasailam Merit Prize for the best bachelor’s project
- Overall GPA: 9.35/10.0
Achievements
- 2019: Awarded Master Thesis grant of 12k CHF from ZKS foundation.
- 2018: Won the FS Germany championship for autonomous race car.
- 2018: Won the formula student Itlay championship points.
- 2017: Awarded “Best graduating student Co-curriculars”, IIT Madras.
- 2017: Awarded “Best paper award in Bio-medical category” at INCAM.
- 2017: Awarded “Academic distinction, Sivasailam Merit Prize”, IIT.
- 2016: Awarded honors degree for academic performance, IIT Madras.
- 2015: Bronze medal in Hardware Modelling at 3rd Inter IIT Tech Meet.
- 2015: “The Best use of Advanced Manufacturing methods” by ASME.
- 2015: “The Best use of Simulation and Predictive tools” by ASME.
- 2013: KVPY scholarship for pursuing studies in basic sciences.
- 2013: Among Top 0.25\% from 1.4 million candidates in IIT-JEE exam.