[Nomination] Dr. Mrugendrasinh Rahevar #148
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
Dr. Mrugendrasinh Rahevar
Nominee Email
Nominee's GitHub or GitLab Handle
https://github.com/Mrugendra83
(Optional) Organization / Affiliation
CSPIT, CHARUSAT
City, State/Province, Country
Anand
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 would actively engage with the PyTorch community by fostering inclusive spaces for learning, collaboration, and innovation. My focus would be on building bridges between beginners, researchers, and developers, ensuring that knowledge flows freely across experience levels.
Planned Events and Activities: I will organize a series of events such as:
1. PyTorch Bootcamp: A 2–3 day event introducing neural networks, PyTorch basics, and hands-on model building.
2. Project Hackathons: Themed hackathons (e.g., healthcare, agriculture, environment) encouraging students to build solutions using PyTorch.
3. Weekly PyTorch Labs: Guided coding sessions on CNNs, RNNs, GANs, and transformers using datasets like MNIST, CIFAR-10, and IMDB.
4. Model Zoo Showcase: Students explore and fine-tune pre-trained models from PyTorch Hub.
5. “ML Explained” Peer Talks: Students present and explain PyTorch-based ML/DL concepts to their peers, enhancing collaborative learning.
🔹 Mentorship and Knowledge Sharing
I will offer mentorship to students interested in research, projects, or Kaggle competitions using PyTorch. I’ll also maintain a GitHub repository and a Discord/WhatsApp group for sharing resources, model code, and best practices. My focus will be on helping students build solid portfolios through PyTorch.
By organizing these initiatives, I hope to foster a collaborative and innovative ML/DL community on campus, where PyTorch becomes the go-to framework for practical AI development.
These events will be open and inclusive, encouraging participation from underrepresented groups and academic communities.