[Nomination] <Nominee Name> #183
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
Dr Amita Kapoor
Nominee Email
Nominee's GitHub or GitLab Handle
No response
(Optional) Organization / Affiliation
No response
City, State/Province, Country
Karnataka, India
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?
When I think about serving as a PyTorch Ambassador, my goal is to weave the community into every space I already nurture—classrooms, workshops, online channels, and research circles—so that learning and contribution feel natural, inclusive, and continuous. Drawing on three decades of teaching and writing about deep learning, I will use each of my existing platforms to spark curiosity, guide newcomers, and elevate the voices of practitioners who are doing inspiring work with PyTorch. Whether I am hosting a virtual study group, writing a practical tutorial, or amplifying a learner’s success story, my focus will remain the same: lower barriers, share real-world know-how, and help others see themselves as capable PyTorch contributors.
Below is a snapshot of how my current roles and channels will feed directly into that mission:
* Retured YouTube channel (hands-on videos & livestreams)
Short, practitioner-oriented walkthroughs of new PyTorch features, live coding sessions during community office hours, and archived recordings of meetup talks so learners in any time zone can follow along.
* Neuromatch collaboration (applied research & mentorship)
Experience guiding cohorts who relied heavily on PyTorch for Deep Learning projects equips me to mentor first-time contributors, showcase interdisciplinary use-cases, and seed open-source repos that others can extend.
* Personal blog & newsletter “GenAI Simplified”
Concise release-note digests, step-by-step tutorials, and “success-story spotlights” delivered straight to a global audience of developers, researchers, and educators.
Authorship of best-selling deep-learning books
The trust and visibility earned through titles such as Deep Learning with TensorFlow & Keras and Hands-On AI for IoT allow me to convene experts for guest articles, panel discussions, and peer-reviewed example notebooks that deepen the PyTorch documentation ecosystem.
By channeling these existing touchpoints into a cohesive Ambassador agenda—quarterly meetups, ongoing study circles, collaborative content creation, and open-source guidance—I will foster a welcoming pipeline that moves learners from curiosity to confidence, ultimately enriching the PyTorch community at every level.Any additional details you'd like to share?
Retured YouTube Channel (started March 2025): https://www.youtube.com/@Retured
Personal blog: https://dramitakapoor.com/blog/
List of expert Talks: https://dramitakapoor.com/expert-talks/
Linkedin newsletter: https://www.linkedin.com/newsletters/7205492822492291072/ (40 editions)
Google scholar profile: https://scholar.google.com/citations?user=vZvDnR0AAAAJ&hl=en