Summary
Xinyu He is a Senior Software Engineer with 16 years of experience building large-scale cloud and edge systems, currently working on AI agent orchestration at Microsoft in Shanghai. He has deep expertise in Azure platform components—networking, Kubernetes, storage prototypes using RDMA/PMEM—and previously drove resilient, high-throughput judging infrastructure at LeetCode that supported contest-scale auto-scaling and CI/CD. Xinyu combines strong systems engineering with practical product sensibilities: instrumentation and monitoring (StatsD/Graphite/Grafana), read/write splitting for global databases, and automated deployment/rollback workflows. Comfortable across distributed storage, networking and backend services, he often focuses on reliability and operational simplicity—hence his self-described “lazy coder” ethos that favors elegant automation over manual toil. Trained at UT Austin (MS CS) and with a BS in Mathematical Economics, he brings both rigorous technical foundations and a quantitative mindset to infrastructure challenges.
16 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS Mathematical Economics, Bachelor of Science - BS Mathematical Economics at Shanghai University of Finance and Economics
Master's degree Computer Science, Master's degree Computer Science at The University of Texas at Austin