I am currently pursuing Master's in Computer Science at McGill University and MILA, where I am working under the supervision of Dr. Doina Precup. I am fascinated by the problem of Model Based Reinforcement Learning which provides an elegant way of performing planning and learning and am working on efficient approaches for modeling reward and state transition distributions.

Github / Google Scholar / LinkedIn / CV

Research Interests:

  • Machine Learning
  • Reinforcement Learning
  • Relational Learning
  • Bayesian Modeling
I briefly investigated modeling uncertainty using Bayesian Networks for driving exploration in Reinforcement Learning. Currently, I am working on Model based RL methods for modeling and performing planning using variance.

Prior to joining McGill, I worked as a Research Associate (2016-2018) at Indraprastha Institute of Information Technology, Delhi (IIIT-D) under the guidance of Professor A.V. Subramanyam. My work at IIIT-D revolved around devising general counter forensic methods for popular image processing operations such as Median Filtering. Furthermore, I briefly investigated few shot learning based approaches for the problem of Object Tracking.

I completed my Bachelor's in Instrumentation and Control Engineering (2011-2015) from Netaji Subhas Institute of Technology, Delhi University, following which I joined EXL Services (2015-2016) as a Business Analyst. My work at EXL involved validation of underwriting, balance consolidation and debt sale models used for generating financial insights as part of the credit card portfolio.