Yi Shan
Senior Research Engineer, Microsoft Research
Redmond, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolYi Shan is a Senior Research Engineer at Microsoft Research with a decade of experience designing and evaluating high-impact database management solutions for Azure. He specializes in knowledge discovery, distributed systems, and DBMS engineering, having led projects on resource oversubscription, optimal database placement, disaggregated memory (CXL), and a novel Bf-Tree for NVMe. Comfortable shipping production features via PRs and publishing academic work, he codes primarily in C++ and Rust and validates designs using real-world workloads. His background includes building large-scale telemetry and ML-driven health detection for Azure and earlier research on keyword search and semantic target entities at ASU. Based in Redmond, he combines rigorous PhD-level research with hands-on cloud product delivery, often bridging prototype research and customer-facing systems. An underappreciated strength is his knack for turning theoretical ideas into measurable, deployable improvements in cloud databases.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, 4.0, Doctor of Philosophy (Ph.D.), Computer Science, 4.0 at Arizona State University
English, Chinese
Github Skills (11)
computer-vision10
machine-learning10
cntk10
python10
java10
neural-network9
deep-learning9
pytorch9
microsoft8
deep-neural-networks8
tensorflow8
Programming languages (1)
Github contributions (1)
microsoft/CNTK
Apr 2016 - Aug 2016
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
Contributions:15 pushes, 1 branch in 3 months
pytorchpythondeep-learningc-plus-plusmachine-learning
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