Junaid Mir #151
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
Junaid Mir
Nominee Email
Nominee's GitHub or GitLab Handle
https://github.com/mirjunaid26
(Optional) Organization / Affiliation
University of Duisburg-Essen
City, State/Province, Country
Essen, Germany
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 an AI and HPC Consultant at the University of Duisburg-Essen, I bring over six years of hands-on experience using PyTorch in machine learning and deep learning research. In my role, I actively support researchers at the university in leveraging PyTorch on our high-performance computing (HPC) infrastructure, including guidance on deploying PyTorch for distributed training across single-node and multi-node GPU environments.
Beyond my institutional responsibilities, I am a member of the training team at HPC.NRW, a collaborative initiative across universities in North Rhine-Westphalia, Germany. In this capacity, I contribute to the design and delivery of workshops and training programs on HPC and AI, with a particular emphasis on scalable PyTorch workflows for research.
As a PyTorch Ambassador, I aim to foster deeper community engagement by sharing best practices, developing educational content, and mentoring early-career researchers and practitioners. I am passionate about bridging the gap between cutting-edge PyTorch capabilities and real-world academic research needs. This program would not only enhance my own growth but also empower our broader research community to adopt and innovate with PyTorch on HPC platforms.Any additional details you'd like to share?
I am currently in the process of joining the NVIDIA University Ambassador Program, which I see as a strong complement to the PyTorch Ambassador role. Together, these programs would position me to deliver high-impact training on how to effectively use PyTorch on NVIDIA GPUs—particularly for large-scale deep learning applications such as Large Language Model (LLM) training. Additionally, as a certified Instructor with The Carpentries, I have the ability to teach these topics to a global audience through workshops and academic courses. This combination of technical expertise, outreach platforms, and pedagogical training would enable me to promote PyTorch in a variety of educational and research settings, both locally and internationally.