Tommy Yan
Principle System Engineer at Microsoft
Sammamish, Washington, United States
Summary
👤
Senior🎓
Top SchoolTommy Yan is a principal systems engineer with over two decades of deep expertise in system/debug engineering and automation architecture, currently leading platform work at Microsoft after senior roles in hardware and systems at Lenovo and HPE. He blends hands-on engineering and management experience across firmware, diagnostics, Linux/manageability, and enterprise IO tools, with a track record of moving teams from prototype debug to production-ready automation. An MIT EECS-affiliated engineer with roots in geophysics from Peking University, he brings a multidisciplinary perspective that helps bridge hardware, low-level software, and operational workflows. Notably, Tommy has repeatedly led design-for-service and diagnostic initiatives that reduced field failures and accelerated time-to-resolution across server fleets. Based in Sammamish, WA, he pairs pragmatism with systems-level curiosity, informed by prior work at AWS AI and a long tenure solving mission-critical platform issues.
9 years of coding experience
22 years of employment as a software developer
Bechelor, Geophysics, Bechelor, Geophysics at Peking University
English, Chinese
Github Skills (36)
trading9
finance9
python8
fintech8
gluon8
aws-lambda8
lambda8
portable7
pytorch7
mxnet7
aws7
deep-learning7
algotrading7
julia7
mutation7
Programming languages (4)
Github contributions (5)
anchen1011/linux-machine-setup
Jun 2017 - Feb 2019
Contributions:101 commits, 99 pushes, 1 branch in 1 year 8 months
awslabs/mxnet-lambda
Jul 2018 - Aug 2018
Reference Lambda function that predicts image labels for a image using an MXNet-built deep learning model. The repo also has pre-built MXNet, OpenCV libraries for use with AWS Lambda.
Contributions:21 commits, 17 PRs, 3 pushes in 21 days
lambda-functionmxnetimage-labelsdeep-learningserverless
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