CV
Curriculum vitae.
Education
Ph.D., Computer Science, McGill University & Mila, 2021–2026 expected
Advisors: Doina Precup and Theodore J. Perkins
M.Sc., Computer Science, McGill University & Mila, 2018–2021
Advisor: Doina Precup
B.E., Instrumentation and Control Engineering, NSIT, University of Delhi, 2011–2015
Research experience
Graduate Researcher, Reasoning and Learning Lab, Mila / McGill University, 2018–present
Research in reinforcement learning, multi-agent RL, model-based RL, and fluid-agent systems.
Research Associate, IIIT Delhi, 2016–2018
Multimedia forensics and visual tracking; counter-forensic attacks against median-filtering and contrast-enhancement detectors.
Talks and service
- Fluid-Agent Reinforcement Learning, IVADO, Montréal, June 2025.
- Reviewer, Conference on Uncertainty in Artificial Intelligence, 2026.
Teaching
Graduate Teaching Assistant, McGill University, 2018–2024
COMP 250 Introduction to Computer Science; COMP 251/252 Data Structures & Algorithms, including Honours; COMP 321 Programming Challenges.
Awards
- Graduate Excellence Fellowship, McGill University, 2023–2025.
- DeepMind Graduate Award, Mila, 2020–2022.
- First Prize, Poster Presentation, Research Showcase, IIIT Delhi, 2017.
- Best Paper Award, ICRITO, 2015.
- All-India Rank 7,080 in IIT-JEE, 2011.
Technical skills
Python, C++, Java, C; JAX, PyTorch; Weights & Biases, CometML, Hydra; multi-device/distributed parallelism; LaTeX, MATLAB.