Summary
Lei Yang is a Staff Data Engineer based in the San Francisco Bay Area with 11 years of hands-on experience applying algorithms, mathematical programming, and software development to fault detection, equipment condition monitoring, and advanced process control. At Tesla he advances cell engineering solutions informed by a decade of semiconductor automation work at GLOBALFOUNDRIES and AMD, where he delivered tool-matching, fault prediction, and implementation-ready algorithms. Proficient in Matlab, C#, SQL and LabView, he bridges research-grade modeling with production software and data pipelines. Lei holds a Ph.D. in Mechanical Engineering and a master’s in Information and Data Science from UC Berkeley, combining deep domain expertise with modern data practice. A practical problem-solver, he specializes in turning complex physical-process insights into robust, deployable analytics that reduce downtime and improve yield.
11 years of coding experience
9 years of employment as a software developer
Ph.D, Mechanical Engineering, 3.9, Ph.D, Mechanical Engineering, 3.9 at University of Cincinnati
Master, Mechanical Engineering, 7.8/9.0, Master, Mechanical Engineering, 7.8/9.0 at University of Michigan
Master's degree, Information and Data Science, 3.8, Master's degree, Information and Data Science, 3.8 at UC Berkeley School of Information
Bachelor, Mechanical Engineering, Graduated with honors, Bachelor, Mechanical Engineering, Graduated with honors at Shanghai Jiao Tong University
Chinese, English