Selected projects from my MS at Northeastern.
Implemented and benchmarked MADDPG and DDPG in cooperative and competitive multi-agent environments. Analyzed policy convergence, reward shaping, and inter-agent communication under partial observability.
Explored parameter-efficient fine-tuning and model compression for large language models. Participated in the OpenAI parameter golf challenge — minimizing parameter count while preserving GPT training quality.
Led end-to-end UX research and iterative design of a companion-based habit tracker — user personas, paper prototyping, heuristic evaluation, and high-fidelity Figma prototype.