I am an Amazon SDE and applied ML researcher focused on reliable AI agents, embodied/human-centered AI, and uncertainty-aware decision systems. I am interested in work that combines production-grade agentic systems, agentic RL, rigorous model evaluation, and trustworthy agents.
My strongest through-line is turning ambiguous model behavior into measurable scientific problems: code-generation agents and tool-use workflows in production settings, spoken instruction following for embodied agents, learning-to-defer systems for human-AI collaboration, and conformal prediction under data and distribution shifts.
MS Eng in Computer Science
Johns Hopkins University
Applied Statistics and Machine Learning
Imperial College London
BSc Computer Science
University of Nottingham
Technical projects are written for fast hiring-manager review: problem, method, evaluation signal, and publication or artifact links where available.
Research outputs spanning uncertainty-aware decision making, embodied AI, human-centered AI, and conformal prediction.