[Nomination] <Akhil Varanasi>

[AkCodes23]

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

Varanasi Naga Akhil

Nominee Email

akhilvaranasi23@gmail.com

Nominee's GitHub or GitLab Handle

AkCodes23

(Optional) Organization / Affiliation

Innotech Manipal

City, State/Province, Country

Manipal , Karnataka ,India

Your Name

No response

Your Email (Optional)

akhilvaranasi23@gmail.com

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?

How I Would Contribute as a PyTorch Ambassador

Community Engagement

As an AI & Robotics Researcher at INNOTECH Manipal, I work extensively with cutting-edge AI technologies where PyTorch is essential. My experience with Multimodal LLMs, Transformers, and Retrieval-Augmented Generation enables me to engage meaningfully with both beginners and advanced practitioners in the PyTorch ecosystem.
My participation in the GirlScript Summer of Code as an Open Source Contributor has prepared me for collaborative technology communities. I would apply this experience to foster an inclusive and supportive PyTorch community where practitioners at all levels feel welcome to contribute and learn.
Technical Expertise and Knowledge Sharing
I would leverage my technical knowledge in PyTorch, TensorFlow, CUDA, and specialized techniques like LoRA and PEFT to develop comprehensive educational resources. Drawing from my projects like "MediGenie: Medical ChatBot AI" and "Voice to Visualization," I would create practical tutorials demonstrating real-world PyTorch applications.
I plan to develop a structured series of workshops progressing from foundational concepts to advanced implementations, ensuring community members have clear pathways to deepen their PyTorch expertise regardless of their starting point.

Event Organization

I would organize regular PyTorch meetups and technical sessions both online and in-person, drawing on my experience presenting at competitions like the Softlaunch Innovation Challenge 2025. These events would combine technical instruction with hands-on implementation, ensuring participants gain practical skills they can immediately apply.
Having attended conferences like ROSCon'24 and various NVIDIA events, I understand what makes technical gatherings productive and engaging. I would apply these insights to create PyTorch-focused events that deliver maximum value to participants.

Mentorship Approach

My experience as an Undergraduate Research Assistant at Manipal Institute of Technology has developed my mentoring skills. I would establish a structured mentorship program pairing experienced PyTorch practitioners with newcomers, focusing particularly on helping students and early-career professionals build portfolio projects.
I would dedicate regular office hours for one-on-one consultations with community members facing specific challenges in their PyTorch implementations, leveraging my diverse project experience across robotics, NLP, and recommendation systems.
Strategic Growth Initiatives
I would establish university-based PyTorch user groups at Manipal Institute of Technology and neighboring institutions, creating a strong regional community of academic PyTorch users. These groups would serve as incubators for collaborative research projects and educational initiatives.
Drawing from my experience with deployment technologies like Docker, FastAPI, and AWS SageMaker, I would develop resources focused specifically on implementing production-ready PyTorch solutions, addressing a critical knowledge gap many practitioners face when moving beyond experimentation.
Building on my multilingual AI project experience, I would work to make PyTorch resources more accessible to non-English speaking developer communities across India, significantly expanding the framework's reach in the region.

Conclusion

My combination of technical expertise, community engagement experience, and leadership background makes me well-positioned to serve effectively as a PyTorch Ambassador. I am committed to not only sharing knowledge but actively growing the community through structured events, mentoring relationships, and strategic outreach initiatives that bring more diverse voices into the PyTorch ecosystem.

Any additional details you'd like to share?

Additional Details About Myself

Technical Contributions and Knowledge Sharing
My technical expertise in AI development is evidenced by my proficiency with various frameworks and technologies, including PyTorch, TensorFlow, and specialized techniques for model optimization. My projects demonstrate practical implementation in domains ranging from healthcare to natural language processing.
My work on the "Voice to Visualization" project shows particular promise for educational content development. This multilingual multimodal AI tool transforms voice commands into SQL Queries into data visualizations, making technology more accessible to non-technical users. This project demonstrates my commitment to democratizing access to technology, a value that aligns well with the educational mission of the PyTorch Ambassador program.

Conference Participation and Educational Engagement
I have participated in several high-profile technical conferences, including ROSCon'24 at IISC Bangalore and multiple NVIDIA AI events. These experiences have equipped me with insights into effective technical communication and community building. My attendance at LLM workshops led by industry leaders from Google and NVIDIA indicates my commitment to staying current with rapidly evolving AI technologies.

Academic and Research Background
As an Undergraduate Research Assistant at Manipal Institute of Technology, I am conducting research on Hybrid Machine Learning Models for improved AQI predictive accuracy. This ongoing research work demonstrates my ability to apply theoretical knowledge to practical challenges, a valuable perspective I could bring to educational content creation for the PyTorch community.
At INNOTECH Manipal, my role as an AI & Robotics Researcher has allowed me to focus on cutting-edge areas including Agentic AI, Multimodal Large Language Models, Transformers, Hybrid AI Architectures, and Retrieval-Augmented Generation. This academic research experience has strengthened my understanding of advanced AI concepts and their implementation using frameworks like PyTorch.
Professional Experience and Technical Implementation
My professional experience includes a role at ARTPARK, IISc Bangalore as a Robotics Software Development Engineer Intern, where I developed algorithms for localization, navigation, and terrain assessment for autonomous legged robot operations. I enhanced environmental mapping, obstacle avoidance, and pathfinding capabilities in complex terrains, applying theoretical concepts to real-world robotics challenges.
At Brilyant IT Solutions, as a Software Development Engineer Intern, I worked with real-world datasets and implemented production-level machine learning systems, including recommendation engines leveraging collaborative and content-based filtering techniques. These experiences have equipped me with practical knowledge of deploying AI systems in production environments.

Certifications and Continued Learning
I have completed several professional certifications that demonstrate my commitment to continuous learning, including the IBM Machine Learning Professional Certificate and courses on Generative AI with Large Language Models from AWS and DeepLearning.AI. My NVIDIA certifications in model deployment, RAG agents, and CUDA programming further validate my technical expertise.
Achievement Recognition
My technical capabilities and presentation skills have been recognized through competitive achievements, including winning the Softlaunch Innovation Challenge 2025 and being named a Top 10 Finalist in the National Edge AI Innovation Challenge 2024. These accolades validate both my technical implementation abilities and my capacity to communicate complex technical concepts effectively.

• LinkedIn: Akhil Varanasi
• Email: akhilvaranasi23@gmail.com
• Website:Link

[github-actions]

👋 Thank you for submitting a nomination for the PyTorch Ambassador Program! 🎉

Your nomination is currently under review. A team member will evaluate the submission and update the status accordingly.

🔹 Review Process & Next Steps:

1️⃣ Initial Review – The nomination will be reviewed by the team.

2️⃣ One-on-One Review – If shortlisted, the nominee will have a session with the Executive Director.

3️⃣ Ranking & Selection – Reviewers will assign scores based on eligibility and impact.

4️⃣ Final Decision – Selected ambassadors will receive an official invitation. ✅

📖 Program Details: View Documentation

💬 Have questions? Please submit a Feedback or Inquiry and reference this nomination issue number.

Thank you for helping grow the PyTorch community! 🚀

[github-actions]

Hello Varanasi Akhil,

Congratulations! 🎉 We're excited to inform you that you have been selected as a 2025 PyTorch Ambassador. Your contributions, impact, and commitment to the PyTorch community stood out during the review process.

You should also have received an invitation to join our private program management repository, where onboarding details and next steps will be shared. If you do not see the invite, please comment here and we will assist you.

Best regards,
The PyTorch PMO