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[Nomination] <Omkar Kabde> #241

@omkar-334

Description

@omkar-334

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

Omkar Kabde

Nominee Email

[email protected]

Nominee's GitHub or GitLab Handle

omkar-334

(Optional) Organization / Affiliation

Chaitanya Bharathi Institute of Technology

City, State/Province, Country

Hyderabad, Telangana, India

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 am an active contributor to Pytorch Repositories (specifically core pytorch and torchtune) and I aim to continue doing so. Resolving issues and submitting PRs has made me understand pytorch repositories better and I want to learn what PyTorch actually does under its hood, which will help me write in-depth technical content as I learn. I've previously created technical content (tutorials and example notebooks) for IOOS (under Google Summer of Code) and I will create content for Pytorch as well (blogs, tweets, tutorials and examples).  

Another thing that I have in mind is - A GitHub repo (and a series of blogs/tweets) called `PyTorch-Visual` visualizing how basic methods like `squeeze`, `permute`, `view`, `reshape`, etc work. This is a basic but fundamental thing that most people overlook while writing code (including me). Think of it as an illustrated guide to the working of PyTorch.  

I am a member of my college's open-source club and I give talks about contributing to open-source in general. The club regularly conducts sessions on technologies like FastAPI, Pandas, etc and I want to start an introductory series `Getting Started with PyTorch` or `PyTorch is all you need` (LOL) to help juniors learn (and maybe contribute to) PyTorch.  

I've also worked on implementing various research papers in PyTorch and converting TF/Keras codes to PyTorch and I aim to do this for new paper releases as well(in case they haven't open-sourced their code). Few of my paper implementations - https://github.com/omkar-334/agri-ml, https://github.com/omkar-334/HateMM-benchmarks  

Back when I was in first year of college, I had come across the Tensorflow User Group of my city (Hyderabad) and I wondered why isn't there a PyTorch User Group... I want to organize meetups in Hyderabad for PyTorch enthusiasts and contributors (baby steps), then maybe set up a PyTorch User Group. (maybe one dayPyTorch Conference can be hosted in India!!)

Any additional details you'd like to share?

I was a contributor at Google Summer of Code last year, which enhanced my interests in contributing to OpenSource. Since then I've contributed to various repos like Runpod, Keras, DataFormer, Pytorch, etc.  

I was an intern at Indian Institute of Technology, Indore, where I had performed research on multimodal hate-speech detection. Our model and the baseline comparison models were implemented in pytorch by me, and the research paper has been accepted to the ACL 2025 Main conference. Most/All of my AI-ML work is done using PyTorch (very grateful for it).  
I am currently a research intern at Indian Institute of Science, working on time series forecasting and guess what, All of it still involves PyTorch, which only proves the fact that PyTorch is used in all fields of AI/ML.  
As Yann LeCun said (https://x.com/hardmaru/status/1929363747568762892), The AI industry as you see it now wouldn't have existed without PyTorch.  
Thank you!

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