[Nomination] Junseo Ko #90
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
Junseo Ko
Nominee Email
Nominee's GitHub or GitLab Handle
kojunseo
(Optional) Organization / Affiliation
PRND Company
City, State/Province, Country
Seocho-gu, Seoul, Korean
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 actively engage with the community through a combination of content creation, mentoring, and event organization, especially within the Korean AI ecosystem. I will:
- Host regular local meetups and workshops in Korea, leveraging my existing network and reach through platforms like LinkedIn (1,200+ followers), YouTube (2,000+ subscribers), my AI newsletter (230+ subscribers), Discord, and other public channels. These events will not only include my own sessions, but also feature guest speakers from industry and academia. I will carefully select and invite presenters to share diverse PyTorch use cases across startups, research labs, and enterprise environments.
- Record and publish all meetup presentations to contribute to the growing body of Korean-language PyTorch educational resources. By making these talks publicly available, I aim to improve access to high-quality content for Korean learners and help broaden PyTorch’s reach beyond just in-person participants.
- Foster active networking and mentorship opportunities by facilitating direct interaction between speakers and attendees. Whether they are early-career researchers, engineers, or students, participants will be able to connect, ask questions, and build ongoing relationships with mentors and experts beyond myself.
- Continue to create educational content in Korean via my YouTube channel and newsletter, providing tutorials, deep dives, and insights into state-of-the-art PyTorch applications. This includes practical training content for both beginners and experienced users.
- Mentor emerging talent by sharing best practices in PyTorch-based development, and offer guidance on using PyTorch effectively for publishing scientific research — based on my experience authoring 11 SCI(E)-level papers using PyTorch.
With my strong background in education, engineering, and community leadership, I am confident in my ability to organize impactful events, foster meaningful connections, and help the PyTorch initiative thrive in Korea and beyond.Any additional details you'd like to share?
As an AI engineer and educator, I bring strong communication skills and a proven ability to engage the community through various channels. My strengths include:
- Authored 11 peer-reviewed SCI(E)-level papers using PyTorch as the primary framework for research and experimentation.(https://scholar.google.com/citations?user=qt7vHIMAAAAJ&hl=ko)
- I applied PyTorch as the core deep learning framework during my time at prominent Korean startups like PRND and Healingpaper, leveraging it for scalable image-based ML systems, model optimization, and deployment in production-grade pipelines.
- Publish a weekly AI-focused newsletter at https://news.kojunseo.link, currently reaching over 230 email subscribers.
- Operate a YouTube channel (@kojunseo) with over 2,000 subscribers, where I regularly publish educational content on PyTorch, machine learning, and software development.
- Have a professional LinkedIn network of 1,200+ followers (https://www.linkedin.com/in/kojunseo).
- Invited speaker at leading events such as the Vessl AI Conference and Teddynote Live, one of Korea’s most prominent LLM and RAG-focused channels (https://www.youtube.com/live/hEKcdsrdV8M?si=kcOiIx1YjsCQ10Ve, https://youtu.be/iZEJBOEdMEQ).
- https://kojunseo.link for more information.
I am confident in my ability to promote and organize PyTorch-related events, especially within the Korean AI community. With my existing audience and media presence, I can effectively support community growth, host local events, and attract participants to PyTorch initiatives.