Summary
Yunfei Zhao is a Machine Learning Researcher and software engineer based in Paris with 8 years of experience building production-ready data and AI systems. He currently develops browser navigation agents and multi-agent collaboration frameworks at CAMEL-AI while also engineering high-volume cloud data pipelines and GenAI-driven analytics at FactSet. His background spans applied mathematics and engineering, with hands-on work in imitation learning for games at Ubisoft, transformer-based object detection research at CNRS, and practical data engineering in finance and mobility. Yunfei combines research-driven experimentation with production rigor—shipping PoCs and scalable services such as custom fund formula engines and CI/CD tooling. Fluent across ML model development, data acquisition, and system design, he’s equally comfortable prototyping novel imitation-learning rewards and optimizing data workflows for latency-sensitive use cases. Outside core work he signals a playful, competitive streak as an “AI fun” enthusiast and three-point shooter, hinting at both creativity and persistence.
7 years of coding experience
2 years of employment as a software developer
Baccalauréat Sciences informatiques et de l''information général, Baccalauréat Sciences informatiques et de l''information général at The High School Affiliated to Renmin University of China
Master's degree Applied Mathematics, Master's degree Applied Mathematics at Sorbonne University
Engineering degree, Engineering degree at Université de Technologie de Compiègne (UTC)
Chinese, French, english, ielts 7.5