[Nomination] <Hyogeun Oh> #225
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
Hyogeun Oh
Nominee Email
Nominee's GitHub or GitLab Handle
Zerohertz
(Optional) Organization / Affiliation
GenON
City, State/Province, Country
Seoul, Korea
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?
With extensive experience in MLOps, backend infrastructure, and a strong passion for open-source machine learning tools, I am committed to actively engaging with the PyTorch community to help it thrive. Over the past several years, I have maintained a technical blog focused on PyTorch, Kubernetes, and related AI/ML topics, sharing practical tutorials and real-world use cases that have reached over 1,500 monthly readers.
I have a particular interest in vLLM, an efficient large language model serving framework, and am currently contributing to its documentation to help lower the barrier for new users and improve community understanding. This work reflects my dedication to making cutting-edge tools more accessible through clear and practical resources.
Looking ahead, I am eager to write a detailed tutorial series on building custom kernels in PyTorch. This will demystify advanced PyTorch internals and empower users to optimize and extend their models in novel ways. By sharing this knowledge widely, I hope to inspire deeper learning and practical experimentation within the community.
As a PyTorch Ambassador, I plan to expand my knowledge-sharing efforts by creating more in-depth tutorials, hands-on guides, and video content tailored to both beginners and advanced users. I will leverage my expertise in deploying and optimizing large-scale PyTorch models to mentor community members through virtual workshops and Q&A sessions.
Additionally, I aim to organize local meetups and study groups focused on PyTorch applications in production environments and MLOps best practices, fostering collaboration and networking within the community. By actively participating in forums, contributing to open-source discussions, and providing feedback on PyTorch developments, I will help amplify the foundation's mission to make AI tools more accessible and impactful worldwide.
My approach centers on empowering others through clear communication, continuous learning, and practical knowledge-sharing, which aligns with the PyTorch community’s values of openness, inclusivity, and collaboration.Any additional details you'd like to share?
Tech blog: https://zerohertz.github.io/
Profile page: https://zerohertz.github.io/about/