Summary
Yi-chun Chang is a software engineer with 8 years’ experience building backend and infrastructure systems, most recently at Meta after a senior vehicle-software role at Tesla. A UC Berkeley M.Eng. in EECS, he blends production-grade engineering (Docker, Nginx, MySQL, Linux) with applied ML—having shipped a TensorFlow-powered NSFW detection API and optimized high-concurrency pipelines to cut response time by ~41%. He has deep experience creating core APIs, compilers for IC test patterns, and the infrastructure that keeps teams productive, and often leads cross-functional projects from design to deployment. Comfortable across languages from Python and C++ to C# and Verilog, he aims to bridge backend systems and ML to support millions of users while prioritizing clear communication and team cohesion.
7 years of coding experience
3 years of employment as a software developer
Master of Engineering - MEng, Electrical Engineering and Computer Science, Master of Engineering - MEng, Electrical Engineering and Computer Science at University of California, Berkeley
Bachelor's degree, Informatics, Bachelor's degree, Informatics at University of Zurich
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at National Tsing Hua University
English