Summary
Yi-sheng Hsieh is a Staff Software Engineer in Mountain View with a decade of experience building data-driven, AI/ML-enabled systems and privacy-first infrastructure. At LinkedIn he architects privacy and metadata engineering solutions—designing monitoring, remediation, and privacy-risk evaluation frameworks that keep large-scale data compliant with GDPR, CCPA, and DMA. He combines deep backend and data-pipeline expertise with operational focus, having built scalable metadata observability and monitoring platforms and led fast iteration on generative-AI products earlier in his career. Known for squeezing latency out of pipelines and shortening development cycles (e.g., music and news ML backends that cut iteration times by 40–50%), he pairs strong academic grounding from Michigan and NTU with pragmatic engineering that balances compliance, reliability, and product velocity.
10 years of coding experience
7 years of employment as a software developer
Master of Science (M.S.), Electrical and Electronics Engineering: System, 3.8/4.0, Master of Science (M.S.), Electrical and Electronics Engineering: System, 3.8/4.0 at University of Michigan
Bachelor of Science (B.S.), Electrical and Electronics Engineering, 3.9/4.0, Bachelor of Science (B.S.), Electrical and Electronics Engineering, 3.9/4.0 at National Taiwan University
English, Chinese