[Nomination] <Nominee Name> #243
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
Nura Sufiyanu
Nominee Email
Nominee's GitHub or GitLab Handle
(Optional) Organization / Affiliation
No response
City, State/Province, Country
Katsina, Nigeria
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, i will contribute by empowering the developer and research community through education, engagement, and advocacy:
1. Educational Content Creation: Develop high-quality tutorials, notebooks, and blog posts that make PyTorch accessible to both beginners and experienced users, especially in areas like deep learning, computer vision, and NLP.
2. Community Engagement: Actively participate in forums, GitHub discussions, and social platforms to answer questions, provide guidance, and support learners and developers using PyTorch.
3. Workshops & Talks: Organize and speak at local meetups, online webinars, and conferences to introduce PyTorch tools, best practices, and new features to diverse audiences.
4. Open Source Contributions: Contribute to PyTorch’s ecosystem by reporting issues, submitting PRs, or building libraries, tools, or examples that enhance the community’s productivity.
5. Advocacy & Feedback Loop: Serve as a bridge between PyTorch users and the core team—gathering feedback, sharing insights from real-world use, and helping shape the direction of the framework.