[Nomination] Vishesh Yadav

[vishesh9131]

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

Vishesh yadav

Nominee Email

sciencely98@gmail.com

Nominee's GitHub or GitLab Handle

vishesh9131

(Optional) Organization / Affiliation

NVIDIA

City, State/Province, Country

Seoni, Madhya Pradesh, 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?

As a PyTorch Ambassador, I want to help more people build and learn with PyTorch—whether they’re just starting out or working on advanced models.

I’ve contributed to open-source frameworks like AxLearn, and built my own system (CoreRec) inspired by PyTorch’s design. I love breaking down complex topics like state space models, recommendation systems, and efficient training into simple, practical guides.

I’d run workshops, share code, make video explainers, and mentor folks trying to get into deep learning or open-source. I care about making ML more accessible, especially in local and underrepresented communities.

I’m excited to support PyTorch by giving back, educating, and growing the community together.

Any additional details you'd like to share?

> Vishesh Yadav — Projects & Contributions

• CoreRec — A graph-based recommendation framework inspired by PyTorch  
  ↳ 26000+ downloads | 3000+ users | DNG Scoring + Transformer (ScoreFormer)

• ScoreFormer — Paper in progress  
  ↳ Introducing DNG scoring with attention-based architecture

• BHASA — Building a multilingual LLM (20M–2B params) using MAMBA-based SSMs  
  ↳ Aligned with India’s linguistic diversity & scaled using FPGA integration

• AxLearn — Contributor to Apple’s deep learning framework  
  ↳ Resolved AQT test suite issues, contributed quantized ops and test modules

• oioi — Minimal MacOS clipboard utility  
  ↳ Top 30 Mac Apps (2025) | Designed for quick access with ⌥ + V

• NVIDIA — Former role  
  ↳ Deep learning and systems work

• ILI (Intra Language Interfaces) — In collab with Farzad (Fixie AI / Apple)  
  ↳ NLP model for bridging languages via aligned embeddings

• Deep Learning From Scratch — Educational series in development  
  ↳ Building a DL framework from the ground up, like a mini PyTorch

• AI-as-a-Service Startup — In progress  
  ↳ Hosting localized LLMs (Falcon, BHASA, Mr AI) via AWS with privacy-first deployment

• Viral Culture Tracker (2025) — Trends analyzer  
  ↳ Collects & analyzes Gen Z / internet viral terms across domains

• C++ cip — Custom package manager (like pip for C++)  
  ↳ CLI-first, dependency resolution and registry-backed

• AI for Medicine — Fine-tuned LLM for transcription, summarization, sentiment  
  ↳ Building a smart physician notetaking assistant

[github-actions]

👋 Thank you for submitting a nomination for the PyTorch Ambassador Program! 🎉

Your nomination is currently under review. A team member will evaluate the submission and update the status accordingly.

🔹 Review Process & Next Steps:

1️⃣ Initial Review – The nomination will be reviewed by the team.

2️⃣ Scoring & Selection – Reviewers will assign scores based on eligibility and impact.

3️⃣ One-on-One Review – If shortlisted, the nominee will have a session with the Executive Director.

4️⃣ Final Decision – Selected ambassadors will receive an official invitation. ✅

📖 Program Details: View Documentation

💬 Have questions? Please submit a Feedback or Inquiry and reference this nomination issue number.

Thank you for helping grow the PyTorch community! 🚀

[github-actions]

Please note: This conversation is now locked and limited to PyTorch Foundation team members only to maintain the integrity of the submission process.

[github-actions]

Hello Vishesh Yadav,

Thank you for applying to the 2025 PyTorch Ambassador Program and for the valuable contributions you make in the PyTorch community. After careful consideration, we regret to inform you that your application was not selected in this cycle.

We encourage you to apply again in the future — the next application cycle will open in early 2026. Please keep an eye on our website for updates on the timeline: https://pytorch.org/programs/ambassadors/

We truly appreciate the time, effort, and passion you bring to the PyTorch community, and we hope to see your application again in the future.

If you have any questions in the meantime, please feel free to reach out to us at ambassadors@pytorch.org.

Best regards,
The PyTorch PMO