Jian Chen
Data And AI Specialist
Xuhui District, Shanghai, China
Summary
🤩
Rockstar🎓
Top SchoolJian Chen is a Data and AI Specialist at Microsoft with three years focused on bringing Power BI, Azure Data Services, and Azure AI solutions to enterprise customers in eastern China. He combines a rare mix of sales and corporate finance experience from senior roles at Shareco and HNA with hands-on ML engineering and automation contributions to high-profile open-source projects like Microsoft’s ONNX Runtime. Educated at MIT Sloan and Fudan, Jian is equally comfortable translating technical capability into business value and optimizing quantized inference operators in production code. Comfortable working across China and North America, he’s a pragmatic problem-solver who prefers “make code, not hack,” and who has repeatedly bridged technical, commercial, and partner ecosystems to drive adoption.
4 years of coding experience
4 years of employment as a software developer
Bachelor of Science, Applied Chemistry, Bachelor of Science, Applied Chemistry at Wuhan UniversityMaster of Business Administration (M.B.A.), Master of Business Administration (M.B.A.) at Fudan UniversityMaster of Science, Management Studies, Master of Science, Management Studies at MIT Sloan School of Management
Github Skills (10)
quantization10
machine-learning10
onnx10
python10
test-automation9
deep-learning8
c-language8
build-automation8
cprogramming-language8
hardware-acceleration7
Programming languages (4)
Github contributions (5)
microsoft/onnxruntime
Jul 2022 - Jan 2023
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Role in this project:
ML Engineer & Automation Engineer
ML Engineer & Automation EngineerContributions:1 release, 491 reviews, 55 commits in 6 months
Contributions summary:Jian contributed to the development and testing of quantized operators for the ONNX Runtime. They added new quantized operators, test cases, and optimized existing code, specifically focusing on split functionality. Additionally, the user made changes to build scripts and configurations, demonstrating an involvement in the build and automation processes. They focused on ensuring the correct implementation and testing of quantized operators.
machine-learningonnxruntimedeep-learningonnxneural-networks
jchen351/pBot
Aug 2022 - Aug 2022
Contributions:5 pushes, 1 branch in 6 days
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.