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[Nomination] Masahiro Hiramori #150

@mshr-h

Description

@mshr-h

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

Masahiro Hiramori

Nominee Email

[email protected]

Nominee's GitHub or GitLab Handle

mshr-h

(Optional) Organization / Affiliation

Mitsubishi Electric Corporation

City, State/Province, Country

Kanagawa, Japan

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 plan to continue advocating for PyTorch in both industry and academia. I will host local meetups and online sessions in Japanese and English to lower language barriers for contributors. I also aim to share real-world deployment insights, especially around edge and AI chip inference, through blog posts and workshops. My goal is to grow and diversify the PyTorch ecosystem by making it more accessible and practically impactful.

Any additional details you'd like to share?

I am an Apache TVM committer and a 2024 PyTorch Contributor Award nominee. I’ve contributed to PyTorch ecosystem interoperability by implementing a Relax frontend for ExportedProgram with dynamic shape support. I’ve also actively shared knowledge through community contributions, public speaking, and academic research.

I was a speaker at the first Japan PyTorch Regional User Group event hosted by the LF AI & Data Foundation:
https://lfaidata.foundation/blog/2025/02/20/first-japan-regional-user-group-rug-was-a-success/

I also presented a paper at IEEE GCCE 2024:
"Performance Evaluation of Apache TVM’s MetaSchedule for Image Classification Models on Edge Device"
https://ieeexplore.ieee.org/document/10760375/

TVM Contributions: https://github.com/apache/tvm/commits?author=mshr-h

I’m passionate about fostering contributions from underrepresented regions, especially Asia, and about advancing deployment workflows for edge inference and AI chip platforms.

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