Summary
Jinru He is a seasoned infrastructure and ML-serving engineer with over a decade of experience building high-throughput, low-latency systems for companies like Pinterest, Facebook, SHAREit, and Xiaohongshu, and is currently a Member of Technical Staff at OpenAI. He has led large-scale, multi-region, cloud-agnostic platform migrations and designed storage, caching, and scheduler systems that drove dramatic cost and utilization improvements (e.g., raising CPU utilization from 19% to 27% and saving hundreds of millions CNY). At Pinterest he built and led the ML serving platform that ranks tens of millions of objects per second and contributed to Teletraan, the company deploy system; at Facebook he worked on the Dragon distributed index serving 2M QPS. His background as an NYU PhD candidate in information retrieval and index optimization informs a rare blend of research rigor and production-grade engineering, especially in index/data-compression and query processing. Known for growing and leading large infra teams, he pairs hands-on C/C++/Python expertise with practical DevOps and Kubernetes experience to ship resilient, measurable systems.
10 years of coding experience
14 years of employment as a software developer
PhD Computer Science & Engineering, PhD Computer Science & Engineering at New York University
High school degree High school class, High school degree High school class at Yali High School
Bachelor of Science Software Engineering, Bachelor of Science Software Engineering at Huazhong University of Science and Technology
English, Chinese, c++