Qian Zhao
Software Engineer at Microsoft
Bellevue, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolQian Zhao is a software engineer with 13 years of cross-domain experience building robust back-end systems and tooling, currently contributing at Microsoft from Bellevue. With a strong statistical foundation (Master’s degrees in Computer Science and Statistics) she bridges data-driven modeling and production engineering, having built risk models, experiment designs, and predictive systems earlier in her career. She has shipped performance-focused client and server features at Facebook and Starkey, and improved stability and distributed GPU support in the widely used Microsoft Cognitive Toolkit (CNTK) as a back-end/DevOps contributor. Comfortable across languages and stacks—C#, Java, Python, R—she emphasizes reliability, build/process improvements, and reproducible APIs. Colleagues value her for combining rigorous analytical thinking with pragmatic engineering to reduce runtime errors and simplify complex integrations.
13 years of coding experience
7 years of employment as a software developer
Master of Computer Science, Computer Science, Master of Computer Science, Computer Science at Georgia Institute of TechnologyMaster's degree, Statistics, Master's degree, Statistics at Graduate School of Statistics, University of MinnesotaBachelor’s Degree, Statistics, Bachelor’s Degree, Statistics at Peking University
Github Skills (20)
c-language10
mpi10
cntk10
deep-learning10
deep-neural-networks10
fileio10
file-handling10
ccl10
neural-network10
file-processing10
file-access10
cprogramming-language10
distribute10
distributed-systems9
error-handling9
Programming languages (10)
Github contributions (5)
microsoft/CNTK
Sep 2016 - May 2018
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:33 commits, 13 PRs, 284 pushes in 1 year 7 months
Contributions summary:Qian primarily focused on improving the stability and robustness of the Microsoft Cognitive Toolkit (CNTK). Their contributions involved handling exceptions, fixing potential errors in file operations, and implementing buffer data for file writing to reduce requests. Additionally, they worked on improving the build process, including MPI information and version detection, and incorporating NCCL support for GPU-based distributed training, demonstrating a strong understanding of the underlying infrastructure.
pytorchpythondeep-learningc-plus-plusmachine-learning
junjieqian/NoSQL-in-Memory-Database-System
Dec 2013 - Jul 2015
Contributions:5 commits, 1 push in 1 year 8 months
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