Wenjing Yin
Principal Software Engineer at Microsoft
Greater Seattle Area United States
Summary
🤩
Rockstar🎓
Top SchoolWenjing Yin is a Principal Software Engineer with nine years of professional software experience and a Ph.D. in Engineering Physics, currently leading cloud infrastructure and telemetry for Microsoft’s AI chip efforts in the Greater Seattle area. She blends deep systems and hardware diagnostics expertise with cloud-native engineering, having progressed from device and failure analysis at Intel to building automated EM imaging pipelines at the Allen Institute and now architecting data streaming, processing, and health monitoring for production AI hardware. An active open-source contributor, Wenjing has improved LLM app examples and CI/CD workflows in Microsoft’s PromptFlow project and refined Azure ML pipeline components in the azure-sdk-for-python repo. Her work frequently spans backend, DevOps, and ML engineering, reflecting a rare ability to translate hardware constraints into robust cloud services. Colleagues describe her as deliberate and patient—she brings a scientist’s rigor to engineering trade-offs, often waiting for the right moment to act.
9 years of coding experience
16 years of employment as a software developer
B.S. Physics, B.S. Physics at Fudan UniversityPh.D. Engineering Physics, Ph.D. Engineering Physics at University of Virginia
English, Chinese
Github Skills (20)
data-pipelines10
python10
azure-sdk10
microsoft-azure10
ml10
mle10
pipe10
pipeline10
yaml10
azure10
data-pipeline10
cicd9
testing8
prompt-engineering7
test-automation7
Programming languages (5)
Github contributions (5)
microsoft/promptflow
Sep 2023 - Mar 2025
Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
Role in this project:
Backend & DevOps Engineer
Backend & DevOps EngineerContributions:624 reviews, 252 PRs, 567 pushes in 1 year 6 months
Contributions summary:Wenjing primarily contributed to the improvement and testing of the chat-with-pdf examples within the promptflow repository. The commits focused on fixing streaming issues and updating documentation and tests related to the chat functionality. Furthermore, the user demonstrated expertise in setting up and modifying CI/CD pipelines, specifically contributing to the workflow configuration for continuous integration.
aiai-application-developmentai-applicationschatgptgpt
Azure/azure-sdk-for-python
Sep 2022 - Jan 2023
This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://learn.microsoft.com/python/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-python.
Role in this project:ML Engineer
ML EngineerContributions:95 reviews, 15 commits, 27 PRs in 3 months
Contributions summary:Wenjing primarily worked on refining and improving pipeline components within the Azure ML SDK for Python. Their contributions involved modifying and testing pipeline components, including the integration of parameter groups and compute validations. These changes touched upon multiple files and classes related to pipeline definition, validation, and scheduling. The user also addressed issues related to sub-graph job downloads and the handling of compute resources within the pipeline framework.
pythonversionedazure-functionssdkazure-python
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