[Nomination] Jieke Choo #159
Description
Select one:
- I am nominating myself for the PyTorch Ambassador Program.
- I am nominating someone else to become a PyTorch Ambassador.
Please confirm that the nominee meets the following requirements:
- The nominee is 18 years of age or older.
- The nominee agrees to abide by the PyTorch Code of Conduct.
- The nominee agrees to comply with the Linux Foundation Antitrust Policy.
- The nominee meets at least one of the qualifications listed in the PyTorch Ambassador Program Requirements.
Nominee Name
Jieke Choo
Nominee Email
Nominee's GitHub or GitLab Handle
jiekechoo
(Optional) Organization / Affiliation
YIQISOFT
City, State/Province, Country
Shanghai, PRC
Your Name
No response
Your Email (Optional)
No response
How has the nominee contributed to PyTorch?
- An active contributor to PyTorch repositories (e.g., commits, PRs, discussions).
- A speaker at PyTorch events or workshops.
- A PyTorch user group organizer or meetup host.
- A researcher or educator using PyTorch in academic work or training.
- An active leader in the PyTorch community with at least one year of experience in:
- Organizing events (virtual/in-person).
- Speaking at AI/ML conferences.
- Mentoring others in PyTorch.
- Creating technical content (e.g., blogs, videos, tutorials).
🏆 How Would the Nominee Contribute as an Ambassador?
As a PyTorch Ambassador and EdgeX TSC member, I will bridge edge computing and PyTorch to drive innovation, inclusivity, and global collaboration in the PyTorch ecosystem. My contributions will include:
Ecosystem Integration: Leading the ‘PyTorch Edge’ initiative within EdgeX, I’ll deliver turnkey solutions for model deployment on XPU/Jetson, building on my smart factory case that achieved 50% latency reduction. I’ll contribute 10+ patches to PyTorch’s edge libraries, enhancing deployment capabilities.
Industry Standards: Collaborating with Intel and NVIDIA, I’ll define best practices for quantized models on edge devices, documented in PyTorch’s official guides, to standardize edge AI workflows.
Community Growth: Leveraging my EdgeX governance experience, I’ll grow PyTorch’s edge developer base 10x through 5 regional Special Interest Groups (SIGs) and quarterly hackathons focused on low-power device optimization. To foster inclusivity, I’ll mentor 50+ new developers from underrepresented regions via monthly office hours and a university partnership program, onboarding 100+ contributors in my first year.
Knowledge-Sharing: I’ll produce a monthly blog series on edge AI optimization, targeting 10,000+ readers annually, and host webinars to demystify model quantization for beginners. At global conferences like Embedded World, I’ll deliver PyTorch workshops, showcasing edge AI use cases and fostering cross-border collaboration.
Global Impact: By partnering with academic institutions in Asia, Europe, and Africa, I’ll establish PyTorch-focused research groups, driving innovation and adoption. My goal is to train 500+ developers and position PyTorch as the leading framework for edge AI, akin to TensorFlow Lite, aligning with the foundation’s mission to advance AI research and industry applications.
I am fully committed to a year-long ambassadorship, adhering to PyTorch’s behavior and antitrust policies, and am excited to build a vibrant, inclusive, and innovative global PyTorch community.Any additional details you'd like to share?
GitHub: https://github.com/jiekechoo
Blog: https://yiqisoft.cn/blogs/
EdgeX Foundry TSC: https://lf-edgexfoundry.atlassian.net/wiki/spaces/FA/pages/11667441/Technical+Steering+Committee+TSC