Summary
Shang-yi Y is a software engineer with nine years of experience building large-scale, production-grade systems, currently contributing to agentic tooling and Optimus infrastructure at Tesla AI & Robotics in Redwood City. He has a strong background in cloud-native architectures, having led initiatives at Trend Micro to deploy resilient Amazon EKS and MongoDB Atlas infrastructures, design high-throughput event publishers for millions of endpoints, and cut MTTR and deployment times significantly. Comfortable across backend, systems, and ML-adjacent tooling, he optimized simulation evaluation pipelines at Tesla to boost throughput 8x and reduced merge times by addressing infra flakiness. Trained at Carnegie Mellon and NTHU with international study experience, he combines rigorous academic foundations with pragmatic engineering—often surfacing non-obvious system bottlenecks and automating to scale.
9 years of coding experience
3 years of employment as a software developer
High School Diploma, High School Diploma at National Chiayi Senior High School
Visiting Student Information Technology, Visiting Student Information Technology at TalTech – Tallinn University of Technology
Master of Science - MS Electrical and Computer Engineering (Software Engineering Concentration), Master of Science - MS Electrical and Computer Engineering (Software Engineering Concentration) at Carnegie Mellon University
Bachelor of Science - BS Electronic Engineering, Bachelor of Science - BS Electronic Engineering at National Taipei University of Technology
English, Chinese