Reinforcement Learning Agent for Bluff Poker
Built a reinforcement learning agent for an imperfect information game using Q-learning and self-play techniques inspired by DeepMind’s work.
GitHub (Coming Soon)Monster Chess AI
Developed a C++ chess-playing AI for a novel variant, featuring a Qt-based GUI and custom heuristics for unbalanced board dynamics.
View on GitHubAutomated Arbitrage on Manifold Markets
Wrote a Python program leveraging Manifold's API to exploit market inefficiencies and sustain >20% ROI on simulated prediction markets.
GitHub (Coming Soon)Competitive Programming
Finalist in British Informatics Olympiad 2022 & 2023. Rated “Expert” on Codeforces. Extensive experience solving algorithmic problems under time pressure.
Codeforces Profile