Jin Yan is a Software Engineer II at Microsoft with ~7 years of experience building the network plumbing that makes hyperscale AI training and inference practical. Focused on Azure ML Networking and the Singularity GPU cluster platform, he reduced cluster provisioning from days to ~30 minutes, introduced cross-region workspace bursting that now powers 25% of fine-tuning jobs, and raised production network uptime from 90.6% to 99%+. He blends systems programming (Python, C++, C#) with cloud-native orchestration (Kubernetes, Azure) to ship self-healing automation, managed virtual networks for regulated enterprises, and AI-augmented developer workflows. A Carnegie Mellon MS and UIUC ECE alumnus, he frequently operates at the intersection of low-level networking and platform reliability—often solving the obscure “long-tail” failure modes users never see.
6 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Electrical and Electronics Engineering, 87/100, Bachelor's degree, Electrical and Electronics Engineering, 87/100 at Harbin Institute of Technology
University of Illinois Urbana-Champaign
Master of Science - MS, Electrical and Computer Engineering, 3.44/4.00, Master of Science - MS, Electrical and Computer Engineering, 3.44/4.00 at Carnegie Mellon University
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