Tao Chen
Senior Software Engineer - CoreAI at Microsoft
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolTao Chen is a Senior Software Engineer with 10 years of experience building AI-first systems, currently contributing to CoreAI efforts like Semantic Kernel and Copilot at Microsoft. His background spans synthetic data and mixed reality, autonomous driving prediction and sensor fusion at XPENG, and reinforcement-learning research for quadrotor control during his MS at USC. He combines machine learning research instincts with pragmatic engineering—shipping front-end UX fixes for high-profile open-source projects such as microsoft/semantic-kernel while architecting production ML features. Comfortable across stack levels, Tao has moved from low-level robotic controllers and real-time visualization tools to developer-facing LLM integrations, showing a rare breadth between control systems and developer tooling. Based in Seattle, he brings an engineer’s attention to user experience and reliability, often surfacing clearer error messages and fixes that improve developer and user workflows.
10 years of coding experience
6 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of Southern CaliforniaOregon State University
English, Chinese, Chinese
Github Skills (7)
typescript10
javascript10
typescripts10
front-end-development10
react10
typescript-types10
azure-functions8
Programming languages (10)
Github contributions (5)
microsoft/semantic-kernel
Feb 2023 - Mar 2023
Integrate cutting-edge LLM technology quickly and easily into your apps
Role in this project:
Front-end Developer
Front-end DeveloperContributions:1073 reviews, 5 commits, 253 PRs in 21 days
Contributions summary:Tao primarily focused on the React-based front-end of the Book Creator Sample App, specifically addressing translation functionality. Their contributions centered on correcting a bug in the translation feature of the book creator sample app, by ensuring the correct target language was passed. The user also added more descriptive error messages for Azure function calls in multiple sample applications, showing they were concerned with user experience. This indicates a focus on improving the user interface and user experience of the application.
aiartificial-intelligencellmopenaisdk
TaoChenOSU/chat-copilot-fork
Jul 2023 - Nov 2023
Contributions:1 review, 4 PRs, 201 pushes in 4 months
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