Nic Ma
Senior Engineering Manager at 英伟达
Shanghai, Shanghai, China
Summary
🤩
Rockstar🎓
Top SchoolNic Ma is a Senior Engineering Manager based in Shanghai with eight years of experience leading global teams on humanoid robotics and medical AI at NVIDIA. He combines hands-on ML engineering—contributing to the MONAI healthcare imaging toolkit—with leadership in simulation/sim2real, model training/tuning, edge deployment, and performance optimization. Comfortable in agile environments, he is skilled at cross-functional communication and scaling teams to deliver production-grade AI for constrained hardware. His background in electrical and electronics engineering from Southeast University and Xiamen University underpins a systems-first approach to robotics and medical imaging challenges. Notably, his open-source contributions to MONAI improved multi-processing, GPU reliability, and metadata/logging—practical fixes that directly raise robustness for clinical and real-time workloads.
8 years of coding experience
Bachelor's degree, Electrical, Electronics and Communications Engineering, Top 10, Bachelor's degree, Electrical, Electronics and Communications Engineering, Top 10 at 厦门大学Master's degree, Electrical and Electronics Engineering, Top 10, Master's degree, Electrical and Electronics Engineering, Top 10 at 东南大学
English
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (8)
pytorch10
machine-learning10
deep-learning10
python10
ai10
image-processing10
numpy10
tensorflow4
Programming languages (5)
Github contributions (5)
Project-MONAI/MONAI
Jan 2020 - Dec 2022
AI Toolkit for Healthcare Imaging
Role in this project:
ML Engineer
ML EngineerContributions:2436 reviews, 698 commits, 1143 PRs in 2 years 11 months
Contributions summary:This user, Nic Ma, primarily contributed to the development of MONAI's library by adding and enhancing its features. Their work included adding new transforms, improving the functionality of existing ones, and incorporating additional test cases to ensure proper operation, particularly for multi-processing contexts and GPU usage. The user also made various improvements to the logging and meta-data handling throughout the library. Furthermore, their commits show involvement in refining the documentation and examples related to the libraries.
pytorchpythondeep-learningmedical-image-processingcomputer-vision
Nic-Ma/MONAI
Oct 2020 - Dec 2020
AI Toolkit for Healthcare Imaging
Contributions:70 PRs, 191 pushes, 37 branches in 2 months
pythoncomputer-visionmachine-learningimagingai-toolkit
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