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Not AcceptedambassadornominationAutomatically tags all nomination issues for easy filtering.Automatically tags all nomination issues for easy filtering.
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
Akaash Tripathi
Nominee Email
Nominee's GitHub or GitLab Handle
coder-irwin
(Optional) Organization / Affiliation
PayTM
City, State/Province, Country
Noida/UttarPradesh/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?
Community Engagement & Growth:
Drawing on his role as Community Growth Manager at Where U Elevate—where he doubled user engagement through data‑driven strategy and market research—Akaash would establish and moderate a “Torch Corner” channel (Slack/Discord) for real‑time Q\&A and code reviews. He’d run bi‑weekly office hours and AMAs, just as he collaborated with senior QA teams at Paytm to troubleshoot automation scripts, ensuring rapid resolution of PyTorch user issues. 
Event Planning & Execution:
As TFUG Ghaziabad Lead, Akaash organized 20 events (11 online) in two years—growing membership to 8,000+ and earning Google For Developers’ “Most Impactful Community” award. He’ll apply that same event‑management rigor to PyTorch: from foundational “Tensors & Autograd” bootcamps to advanced distributed‑training workshops and 48‑hour “Torchathons,” partnering with university AI clubs (e.g., NITRA Technical Campus) and industry sponsors for venues, GPU credits, and swag. 
Open‑Source & Mentoring:
Building on his mentorship at TreeHacks and GSSOC—where he guided teams in ML model integration and cloud API debugging—Akaash will host quarterly “PyTorch Fixathons,” pairing newcomers with experienced maintainers to tackle beginner‑friendly GitHub issues. He’ll launch a one‑on‑one mentorship program with clear milestones (“Implement ResNet block by Week 2; TorchScript export by Week 4”), modeled on his structured support of community members at TFUG. 
Knowledge Sharing:
Akaash’s technical writing experience (projects in anomaly detection using Python/Pandas and Azure Cognitive Services; GUI tools in Tkinter) equips him to produce blog posts and video tutorials on PyTorch best practices—custom modules, optimization tricks, deployment with TorchScript. He’ll maintain a public “PyTorch Learning Roadmap” and community “cookbook” of recipes, akin to his algorithmic LCM project, ensuring reproducible, low‑cost solutions. 
Success Metrics & Feedback:
He will track active channel membership growth, event attendance, number of PRs merged from new contributors, and mentorship pair completions—mirroring his data‑driven achievements at Where U Elevate and TFUG—and iterate formats based on post‑event surveys and community polls.Any additional details you'd like to share?
Medium Link: https://medium.com/@tripathiakaash
TFUG Ghaziabad: https://www.commudle.com/communities/tensorflow-user-group-ghaziabad
LinkedIn: https://www.linkedin.com/in/akaash-t-bb9211212/Metadata
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Not AcceptedambassadornominationAutomatically tags all nomination issues for easy filtering.Automatically tags all nomination issues for easy filtering.