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[Nomination] Ghassen Fatnassi #279

@ghassen-fatnassi

Description

@ghassen-fatnassi

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:

Nominee Name

Ghassen Fatnassi

Nominee Email

[email protected]

Nominee's GitHub or GitLab Handle

https://github.com/ghassen-fatnassi

(Optional) Organization / Affiliation

Higher School of Communication SUP'COM

City, State/Province, Country

Ghazela,Ariana,Tunis,Tunisia

Your Name

No response

Your Email (Optional)

[email protected]

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?

1 main thing basically :
   **be the voice of pytorch in our uni , I'll try to make people aware of the good experience i had with 
   pytorch (good doccs, easy modularity , fast training and customizeation , and great community that helped 
   solve the 100+ bugs i my loss functions and dataloaders), i'll be doing that through the MLS club of 
   which I'm the the ex president , I'll be helping juniors take the lead  (even tho they are pretty good on 
   their own right now => I'll be able hopefully to make a whole club( 70+ members) with engineering 
   background to start contributing to pytorch's many repos

Any additional details you'd like to share?

I have written some articles through my journey of learning RL and parallel computing , the RL blog is simple but the lab is done with pytorch , I have made theoretical workshops referencing pytorch dataloader and dataset implementation , i also did one workshop where i showed my internship repo done purely with pytorch , which contains a fair bit of customizeation and shows why pytorch is pretty good for any (pretty much) ai workload
I'm pretty enthusiastic about OS contributions , u can see that in my HF PR to their computer vision community course : https://www.linkedin.com/in/ghassen-fatnassi-70ab52283/ , I'll be doing my best to contribute to pytorch the more ways!!

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