Summary
Kaipeng Zhang is a Principal Researcher with a decade of experience at the intersection of AI research and product-focused engineering, currently leading world-model, AI-native game efforts at Shanda AI Research Tokyo. He previously contributed to core research projects at Shanghai AI Laboratory and has research stints across SenseTime, Microsoft Research Asia, Tencent, and academia, reflecting deep expertise in computer vision and large-scale AI systems. Kaipeng holds a PhD from The University of Tokyo and an M.Eng. from National Taiwan University, combining rigorous academic training with hands-on industry deployments. A member of OpenGVLab, he maintains an active public profile and open research footprint (kpzhang93.github.io) that highlights reproducible work and collaborations. Notably, his career blends startup consulting and industrial research, giving him rare fluency in turning cutting-edge models into product-ready systems. Colleagues describe him as a technically curious researcher who bridges theory and applied engineering across East Asia’s leading AI labs.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Engineering (B.E.) Computer Network Engineering, Bachelor of Engineering (B.E.) Computer Network Engineering at Donghua University
Master of Engineering (M.Eng.) Computer Science, Master of Engineering (M.Eng.) Computer Science at National Taiwan University
University of Tokyo