Summary
Shufeng Chen is a backend and systems engineer with nine years of experience building scalable infrastructure and high-throughput data pipelines across cloud, bare-metal, and HPC environments. His work spans gRPC, Kubernetes, HDFS, and performant ETL systems—he scaled a streaming collector to ingest gigabit-speed data from 4,300+ devices and cut P95 latency in a secrets-detection microservice from 170ms to ~40ms under massive QPS. He has practical MLOps and on-device ML experience, shipping real-time environmental monitoring and integrating model embedding improvements in research settings. Comfortable from low-level POSIX storage tweaks to Spring Boot APIs and distributed scheduling, he focuses on measurable performance wins (e.g., 1.3x latency improvement, 2.25x CPU reduction). Incoming to Stripe’s engineering intern cohort, he blends production-grade operational tooling with research-driven model work and a knack for pragmatic systems optimizations.
9 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at University of Michigan
Bachelor of Engineering - BE Electrical and Computer Engineering, Bachelor of Engineering - BE Electrical and Computer Engineering at UM-SJTU Joint Institute, Shanghai Jiao Tong University
Master of Science - MS Electrical Engineering, Master of Science - MS Electrical Engineering at Columbia University