Summary
Lun Zhang is an engineer leader with 14 years of experience building recommendation and search systems, currently leading business-objective-driven recommendation algorithms at TikTok in San Jose. Previously he modernized Bilibili’s search and drove results-page ranking and traffic growth, and led multiple recommender and ads-algorithm teams at Baidu responsible for Feed ADs revenue and large-scale traffic acceleration. His background spans hands-on system optimization (including CUDA-based tracking early in his career) to hybrid tech-lead-and-manager roles that bridge research, product metrics, and engineering execution. Lun combines deep ML/recommender expertise with product-facing accountability, routinely translating business KPIs into algorithmic designs. He holds an M.Eng. in Computer Science from the Chinese Academy of Sciences and began his career in field engineering, offering a pragmatic systems perspective uncommon among pure ML leaders. Known for operating effectively at scale, he focuses on measurable impact across ranking, personalization, and ad monetization.
14 years of coding experience
13 years of employment as a software developer
Master of Engineering (M.Eng.) Computer Science, Master of Engineering (M.Eng.) Computer Science at Chinese Academy of Sciences
Bachelor of Applied Science (BASc) Telecommunications Engineering, Bachelor of Applied Science (BASc) Telecommunications Engineering at Shandong University
English, Chinese