[Nomination] Shoaib Aslam #122
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
Shoaib Aslam
Nominee Email
Nominee's GitHub or GitLab Handle
saslamaa
(Optional) Organization / Affiliation
The Hong Kong University of Science and Technology
City, State/Province, Country
Hong Kong SAR China
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?
I would actively engage with the PyTorch community by contributing to open-source development, sharing knowledge through tutorials and blogs, and organizing events. I would submit code improvements and domain-specific extensions (e.g., for predictive maintenance) to PyTorch’s GitHub, while participating in discussions to shape the framework’s evolution. To democratize access, I would create beginner-friendly content—like Colab notebooks on attention mechanisms for industrial applications—and host virtual meetups or hackathons focused on real-world challenges, such as fault detection in machinery.
Additionally, I would prioritize mentorship and inclusivity through programs like PyTorch Lightning or university collaborations, guiding projects that bridge ML and engineering domains. To broaden participation, I would partner with groups like Women in ML to host workshops and translate resources into non-English languages. By measuring impact through metrics like GitHub contributions and event attendance, I would ensure their efforts tangibly strengthen PyTorch’s ecosystem for both researchers and practitioners.