Summary
Shipeng Xie is a software engineer with a decade of experience building data platforms and infrastructure, currently contributing to Stripe's backend systems. Previously at VMware he focused on real-time data processing, observability pipelines, and data lake engineering, bringing production-grade reliability to telemetry and analytics. With an MSc from Carnegie Mellon in AI and Innovation and early internships in ML and algorithm engineering, he blends strong data engineering chops with machine learning intuition. He has a track record of shipping scalable pipelines and observability features that bridge infrastructure and analytics teams. Based in San Francisco, he favors pragmatic, efficiency-driven solutions and has a background that spans research-adjacent teaching to high-throughput production systems.
10 years of coding experience
4 years of employment as a software developer
Bachelor’s Degree Electronic and Information Engineering, Bachelor’s Degree Electronic and Information Engineering at Nanjing University of Posts and Telecommunications
High School General Studies, High School General Studies at High School Affiliated to Nanjing Normal University
MSc in Artifical Intelligence and Innovation Computer Science, MSc in Artifical Intelligence and Innovation Computer Science at Carnegie Mellon University
English, Chinese