I'm a Senior Developer Advocate - Large Language Models at NVIDIA, where I demonstrate how developers can leverage GPU acceleration in their LLM workflows using tools and frameworks widely adopted by the developer community.

• Developer Advocacy: Help developers understand and implement cutting-edge AI technologies
• Technical Content: Write blogs, create tutorials, and speak at conferences
• Community Building: Engage with developers and share knowledge about LLMs and GPU acceleration
• Open Source: Contribute to NVIDIA's GenerativeAIExamples and other projects

• Education: Master's in Computer Science from Illinois Institute of Technology, Chicago
• Previous Roles:
  • Senior Technical Product Marketing Manager, AI/ML at NVIDIA (TensorRT, Deep Learning Frameworks, RAPIDS)
  • AI Research Intern at BMW Group (Computer Vision for manufacturing)
  • Machine Learning Fellow at Fellowship.AI

• Frameworks: PyTorch, TensorFlow, JAX, Deep Graph Library (DGL), PyTorch Geometric (PyG)
• NVIDIA Stack: TensorRT, Triton Inference Server, RAPIDS cuDF, cuML
• LLM Tools: Hugging Face Transformers, LangChain, RAG workflows

• Primary: Python, JavaScript
• Others: R, SQL, C++

• Cloud Platforms: AWS, Google Cloud, Azure
• Containerization: Docker, Kubernetes
• CI/CD: GitHub Actions, Jenkins

• Data Processing: pandas, NumPy, RAPIDS cuDF
• Visualization: Matplotlib, Seaborn, Plotly
• ML Libraries: scikit-learn, XGBoost, LightGBM

• Creating RAG-Based Question-and-Answer LLM Workflows at NVIDIA - Oct 2024
• Deploying Accelerated Llama 3.2 from the Edge to the Cloud - Sep 2024
• Generative AI Agents Developer Contest: Top Tips for Getting Started - May 2024
• RAPIDS cuDF Accelerates pandas Nearly 150x with Zero Code Changes - Mar 2024

• Contribution: Active contributor to NVIDIA's official Generative AI examples repository
• Focus: LLM workflows, GPU acceleration, and developer tools
• Link: View Contributions

• SociAlly: AI-powered platform for social anxiety support using Llama3
• StreamLens: Real-time video analysis with AI-powered scene understanding and auto-generated content

• Conferences: Regular speaker at AI/ML conferences and meetups
• YouTube: Technical tutorials and talks on my channel
• Community: Active in AI/ML communities and developer advocacy

I'm always interested in connecting with fellow developers, researchers, and AI enthusiasts. Feel free to reach out!

• Website: jayrodge.github.io
• Email: [email protected]
• LinkedIn: linkedin.com/in/jayrodge
• Twitter: @jayrodge15
• Medium: @jayrodge

• 🎯 Toastmasters Member: 4+ years of public speaking practice
• 🚗 Tesla FSD User: Daily user of Tesla's Full Self-Driving technology
• 🎵 AI Tool Enthusiast: Always experimenting with the latest AI tools and frameworks
• 🌍 Global Perspective: Experience working across different cultures and markets

"Wherever you go, go with all your heart." - Confucius

Currently based in: San Francisco Bay Area, CA
Available for: Speaking engagements, and collaboration opportunities