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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
Ghassen Fatnassi
Nominee Email
Nominee's GitHub or GitLab Handle
ghassen-fatnassi
(Optional) Organization / Affiliation
No response
City, State/Province, Country
Tunis,Tunisia
Your Name
Mohamed BENBETTAIEB
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?
Ghassen has conducted technical workshops on PyTorch internals, covering topics such as autograd, custom Functions, and the torch.utils.data pipeline. He developed a complete reinforcement learning lab using PyTorch and showcased his internship project, which featured tailored training loops and custom modules. Additionally, he has contributed to Hugging Face’s computer vision course and is actively pursuing deeper contributions to the PyTorch ecosystem.Any additional details you'd like to share?
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ambassadorduplicateThis issue or pull request already existsThis issue or pull request already existsnominationAutomatically tags all nomination issues for easy filtering.Automatically tags all nomination issues for easy filtering.