Jianing Yang is an AI engineer based in California with 11 years of software and research experience bridging embodied AI, 3D computer vision, and production engineering. A PhD student at the University of Michigan and MS graduate from Carnegie Mellon, Jianing has interned at Meta and Adobe on perception and 3D projects and now contributes to Figure’s Helix team. He brings hands-on systems experience from multiple roles at AWS and open-source contributions to robotics UI in the RoboCup community, where he improved real-time coordinate displays and field visualization. Comfortable moving between research and product, he has repeatedly shipped performant UI and backend changes in C++ and web stacks. Jianing blends deep academic training with practical engineering wins—often surfacing research-grade 3D insights into user-facing tools.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of Michigan
Bachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at Georgia Institute of Technology
High School, High School at High School attached to Capital Normal University
Master of Science - MS Machine Learning, Master of Science - MS Machine Learning at Carnegie Mellon University
Georgia Tech RoboJackets Software for the RoboCup Small Size League
Role in this project:
Full-stack Developer
Contributions:11 commits, 4 PRs, 12 pushes in 2 months
Contributions summary:Jianing primarily contributed to the UI and display aspects of the RoboCup software. They implemented a hovering coordinate display, optimized performance during hovering, and modified the field view to improve user interaction and information presentation. Furthermore, the user adapted existing code to reflect updated coordinate systems. These changes involved both C++ code modifications and UI element additions.
Contributions:333 commits, 6 pushes, 1 branch in 3 months
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