Resume
Academic Achievements
- 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.