Ge Shi is an Applied Scientist II based in Seattle with a decade of experience at the intersection of machine learning, computer vision, robotics, and software engineering. He holds a PhD in Computer Science from UC Davis and has moved fluidly between research and production roles—contributing to recommender systems at TikTok and Tencent, visual model research at Berkeley Lab, and agentic LLM solutions at Amazon. His background spans low-level systems like ROS and SLAM implementations in C++ to deep learning research on loss landscape visualization and generalizability metrics, reflecting both rigorous theory and hands-on engineering. Comfortable shipping ML features that affect millions of users, he blends academic depth with product impact and a knack for translating complex models into scalable solutions. An underappreciated strength is his cross-domain experience from medical image processing to game-promotion GenAI, which gives him a practical edge in adapting models to diverse real-world constraints.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of California, Davis
Master's degree Computer Science, Master's degree Computer Science at University of Massachusetts Amherst
Bachelor's degree Robotics and Automation Engineering, Bachelor's degree Robotics and Automation Engineering at Zhejiang University
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