PyTorch Ambassador K.A.S.M Maheeshakya #116
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
Sandin Maheeshakya
Nominee Email
Nominee's GitHub or GitLab Handle
SandinMaheeshakya
(Optional) Organization / Affiliation
No response
City, State/Province, Country
Colombo, Sri Lanka
Your Name
No response
Your Email (Optional)
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 Community Ambassador, the nominee would contribute by fostering a vibrant, inclusive, and collaborative environment for PyTorch users at all levels. With a strong background in deep learning and active experience using PyTorch in both academic and real-world projects, the nominee is well-positioned to share knowledge, mentor newcomers, and create resources that demystify PyTorch for broader audiences.
They would lead local meetups, workshops, and online sessions to educate and inspire fellow developers, researchers, and students. Additionally, the nominee is passionate about open-source contribution and would actively engage with the PyTorch ecosystem—whether by contributing to tutorials, writing blog posts, or submitting pull requests—to enhance the framework and its documentation.
Their commitment to community growth, technical expertise, and strong communication skills make them a valuable advocate for PyTorch and an inspiring leader within the global AI/ML community.