Xiaotian Han is a machine learning engineer with 11 years of experience specializing in computer vision and generative AI, now working as a Member of Technical Staff at OpenAI in the San Francisco Bay Area. Previously he built multimodal generative models at ByteDance and productized vision algorithms at Microsoft, where he contributed to image search, object detection, tracking, and GAN-based attribute editing. His background spans large-scale graph and algorithmic work at Tencent and game-AI systems at Kwai, demonstrating an ability to optimize everything from distributed graph processing to real-time game agents. Trained in physics and big-data ECE (USTC and Duke), he blends rigorous scientific thinking with hands-on engineering to move models from research into production. He also notes experience training large language models and a persistent interest in the intersection of math, CS, and scalable systems—often surfacing in projects that reduce multi-hour tasks to real-time performance.
11 years of coding experience
6 years of employment as a software developer
Master's degree Electrical and Computer Engineering (Big Data), Master's degree Electrical and Computer Engineering (Big Data) at Duke University
Bachelor's degree Physics, Bachelor's degree Physics at University of Science and Technology of China
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Xiaotian Han - Member Of Technical Staff at OpenAI