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Bachelor of Engineering (Hons), Electronics and Instrumentation

• Courses included deep learning, neural networks and fuzzy logic, probability and statistics, linear algebra, operating systems, and control systems.

Junior Researcher

• Advised by Prof. Dr. Sebastian Vollmer.
• Researching causal inference in sequential decision-making.
• Working on event modeling with point processes.
• Assisting with thesis supervision, teaching, hiring, and proposal writing.

Bachelor's Thesis

• Worked on scalable causal bandits with adequate causal discovery.
• Integrated differential Bayesian structure learning with reward maximization.
• Designed and evaluated a scalable algorithm for linear causal bandits.

Research Collaboration

• Supervised by Dr. Zenna Tavares.
• Implemented models of rational agents for (PO)MDPs with human biases and bounded rationality.
• Built JuliaProgrammingPuzzles.jl to benchmark ParametricInversion.jl.

Neural Spatio Temporal Point Processes: Trends and Challenges

X Hacking: The Threat of Misguided AutoML

Graph Agnostic Causal Bayesian Optimisation

Peculiarities of Counterfactual Point Process Generation

• Selected for Julia Summer of Code for project Fairness.jl
• Awarded institutional funding of 50,000 INR for a reinforcement-learning traffic control system
• Won Hult Prize India and represented India at the Castle Accelerator

Guest Lecturer

• Delivered lectures on human-in-the-loop learning and active learning.

Head Teaching Assistant

• Led a team of 12 TAs and designed assignments across ML, CV, NLP, and RL.

Reviewer and Organizer

• Reviewing and organizing community-facing research activities around causality and event modeling.