Summary
Kourosh Meshgi is a tech lead and chief scientist with 12+ years of experience building agentic, multimodal AI systems that learn from observation and improve via self-supervision. He designs end-to-end pipelines—such as Video-RAG for cross-modal retrieval and Automation-from-Demonstration—that bridge perception, planning, and execution so agents can translate raw video into reliable, executable actions. His background spans academia and industry, including a PhD from Kyoto University, RIKEN research, and applied R&D in robotics and autonomous mapping for cars and drones. Kourosh’s work uniquely blends imitation learning, retrieval-augmented generation, and active/self-correcting architectures to model user behavior and enable continuous adaptation in dynamic real-world settings. Based in Virginia, he leverages deep multimodal research to deliver practical automation and personalized behavior modeling at scale.
12 years of coding experience
9 years of employment as a software developer
MSc, Artificial Intelligence, MSc, Artificial Intelligence at Amirkabir University of Technology
PhD, Graduate School of Informatics, PhD, Graduate School of Informatics at Kyoto University
Diploma, Mathematics and Physics, Diploma, Mathematics and Physics at Sadr High School
Persian, Japanese, English