Summary
Hangfei Lin is a Staff Software Engineer with nine years of experience building large-scale AI infrastructure and feature/model-serving systems, currently working on Gemini post-training, agents RL, and contributing to Google’s adk-python. Previously at LinkedIn he architected Feathr feature store pipelines, large-model training, and embedding-based retrieval, scaling feature and label preparation for production workloads. He combines hands-on systems engineering with product-minded design, informed by user studies and extensive work in open-source community management and advisory roles since 2015. His background spans data analytics and materials science research, reflecting a rare blend of deep engineering, applied research, and product innovation. Based in Nanjing, he brings cross-cultural experience across U.S. and China engineering environments and a Stanford Ignite certificate in innovation and entrepreneurship. A subtle throughline in his career is turning research-grade ideas into resilient, production-grade infrastructure that serves real ML workloads.
9 years of coding experience
10 years of employment as a software developer
Stanford Ignite, Certificate Program in Innovation and Entrepreneurship, Stanford Ignite, Certificate Program in Innovation and Entrepreneurship at Stanford University Graduate School of Business
Artificial Intelligence Graduate Certificate, Artificial Intelligence, Artificial Intelligence Graduate Certificate, Artificial Intelligence at Stanford University
Bachelor of Science (BS), Condensed Matter and Materials Physics, Bachelor of Science (BS), Condensed Matter and Materials Physics at Nanjing University
Master of Science (MS), Computer and Information Sciences, General, Master of Science (MS), Computer and Information Sciences, General at University of Pennsylvania
English, Chinese, Japanese