Published 30+ papers; served as Area Chair for ACL & COLM; research focus includes code intelligence, generative AI, reinforcement learning, robustness, and fairness.
Research Experience
Senior Applied Science Manager at AWS, leading the science team for Kiro IDE and Amazon Q Developer, building large language models and AI agents. Previously, helped launch Alexa's deep learning models and advanced fairness methods across large language models.
Education
Graduated from the University of Maryland, College Park, where he worked on human-in-the-loop machine learning systems.
Background
AI Research Lead at AWS, focusing on code intelligence and interactive agents. Leads the science for Kiro IDE and Amazon Q Developer, transforming developer workflows through advanced language models and agentic workflows. Fascinated by code intelligence as it represents a unique form of AI where outcomes can be rigorously verified at massive scale.
Miscellany
Interests include generative AI, large language models, reinforcement learning, robustness and fairness, and AWS cloud technologies.