Aayusha Adhikari #284
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
Aayusha Adhikari
Nominee Email
Nominee's GitHub or GitLab Handle
(Optional) Organization / Affiliation
No response
City, State/Province, Country
Pokhara, Gandaki province, Nepal
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 dedicated researcher and educator actively using PyTorch in academic projects and student training, I am passionate about making deep learning more approachable, inclusive, and impactful. I believe that AI should not only be cutting-edge but also community-driven — and I want to be part of building that culture.
Over the past year, I’ve taken a leadership role in organizing events such as workshops, tech talks, and study groups — both virtually and on campus — where students and early-career professionals explore real-world applications of PyTorch. I strive to create welcoming spaces where questions are encouraged and collaboration thrives.
As a PyTorch Ambassador, I would continue to:
Host hands-on workshops and meetups to introduce students and developers to core PyTorch concepts, with a focus on bridging theory and practice.
Mentor new learners, especially those from underrepresented regions and backgrounds, by guiding them through open-source projects, research-based use cases, and best practices.
Create accessible technical content (blog posts, mini-tutorials, and YouTube snippets) focused on breaking down complex topics like model interpretability, fine-tuning, or deploying PyTorch models in resource-constrained environments.
Collaborate with fellow educators and researchers to build training material and curricula that integrate PyTorch into academic learning pathways.
Champion responsible AI by highlighting ethical considerations, bias mitigation, and explainability when working with machine learning models.
My ultimate goal as an ambassador is to empower others — especially students and early-stage researchers — to feel confident using PyTorch, experimenting with ideas, and contributing to the larger ML ecosystem. I’m deeply committed to the mission of community-led growth and believe that with the right support, anyone can become a builder in AI.Any additional details you'd like to share?
Although I haven’t yet published official blogs or tutorials, I’m actively building a foundation to do so. I’ve been focused on organizing community events, mentoring peers, and deepening my own understanding of PyTorch through academic projects and self-driven learning.
As a student leader and organizer of the AWS Cloud Club at Prithvi Narayan Campus, I regularly help peers explore topics like machine learning, model deployment, and cloud-integrated AI solutions. I plan to start sharing my learnings through accessible blog posts and short video tutorials specifically designed for beginners and students in underrepresented regions.
I am also in the process of developing hands-on workshops and open study sessions using PyTorch that will help learners gain confidence with real-world tools.
My motivation as a potential PyTorch Ambassador is rooted not just in what I’ve already done — but in what I’m committed to doing: building an inclusive, encouraging space for others to learn, create, and grow.