Summary
Zaid Khan is an AI researcher and engineer focused on building grounded, multimodal language agents that use reinforcement learning from interactive feedback to solve real-world reasoning tasks. With 11 years of experience spanning industry and academia, he has driven research on self-training, program synthesis, and agentic LLM orchestration at NEC Labs and is now a PhD student and research assistant at UNC Chapel Hill working with Mohit Bansal. His work blends computer vision, neural program synthesis, and practical systems engineering—publishing first-author papers at CVPR, ECCV, and NeurIPS while also delivering production data and event-driven systems in prior roles. He has a track record of translating research into demos and demos-in-progress (paper submitted, demo forthcoming) and combines deep experimental rigor with hands-on deployment experience across cloud and embedded stacks. Based in Chapel Hill, he brings a rare mix of academic publication impact and operational engineering across ML-driven perception and agent development.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at The University of North Carolina at Chapel Hill
Master of Science - MS, Computer Engineering, Master of Science - MS, Computer Engineering at Northeastern University
High School Diploma, High School Diploma at Haynes Academy School for Advanced Studies
English