Yongjia Li

Software Engineer at Microsoft

Bellevue, Washington, United States
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Summary

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Yongjia Li is a software engineer at Microsoft with four years of experience specializing in Azure Machine Learning, where she has worked on integrating distributed frameworks like Dask to enable terabyte-scale data processing and built diagnostics visualizations for ML workflows. She holds a high-performing CS and Math double major from UNC Chapel Hill (3.95 GPA) and has research experience building Python toolchains and GUIs for neural imaging as well as accessibility-focused web tools. Outside of Microsoft, Yongjia organized and grew Pearl Hacks’ sponsor network and programming for a 400+ participant event, demonstrating a talent for technical program coordination and stakeholder negotiation. Comfortable across backend APIs, distributed computing, and front-end visualization, she combines rigorous academic foundations with practical product-focused engineering.
code5 years of coding experience
job2 years of employment as a software developer
bookBachelor of Science - BS, double major Computer Science and Math, with a minor in Cognitive Science, 3.95/4.0, Bachelor of Science - BS, double major Computer Science and Math, with a minor in Cognitive Science, 3.95/4.0 at University of North Carolina at Chapel Hill
languagesEnglish, Chinese
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Stackoverflow

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Github Skills (25)

visualization10
widgets10
jupyter10
fairness-ml10
data-science9
machine-learning9
data-analysis9
data-visualization9
azure8
python8
ai8
ml8
data-exploration8
azure-sdk7
react6

Programming languages (3)

TypeScriptJavaScriptPython

Github contributions (5)

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Azure/MCP

Jan 2026 - Mar 2026

Azure 💜 MCP
Contributions:3 reviews in 1 month
azure
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.
Contributions:1 review, 2 commits, 6 PRs in 14 days
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