Summary
方林涛 (Fang) is a senior search algorithms engineer with nine years of experience blending academic research and production engineering in search and recommendation systems. Trained at the University of Science and Technology of China (BSc/MSc), he has worked on graph representation learning, knowledge graph embedding, and data mining in research roles and applied those techniques to product search at Meituan and now Taobao/Alibaba. His background spans both lab-style research (USTC, Huawei) and large-scale, user-facing search relevance engineering, giving him strong end-to-end instincts from model design to online relevance tuning. Based in Hefei, he combines a researcher’s depth in network representation learning with practical experience optimizing homepage and e-commerce search—an uncommon mix that helps bridge novel ML methods and production constraints.
9 years of coding experience
2 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at University of Science and Technology of China
English, Chinese