I'm a technology enthusiast specializing in cutting-edge AI and cloud technologies. My work focuses on Docker containerization, Generative AI, LLM Operations, Model Context Protocol (MCP), and Agentic AI systems. I also have expertise in app development, Centers of Excellence (CoE), and low-code/no-code platforms.

Updated: October 28, 2025

🚀 The definitive guide for setting up AI workloads on NVIDIA AGX Jetson Thor - Transform your Jetson into a powerful AI personal computer with Docker-based deployments

• Tech Stack: HTML
• Focus: Edge AI, NVIDIA Jetson, Docker Deployment

Updated: June 12, 2025

A modern 3-tier Neo4j chat application with AI-powered Cypher query generation using Ollama and FastAPI

• Tech Stack: Python, Neo4j, FastAPI, Ollama
• Focus: RAG (Retrieval-Augmented Generation), Graph Databases, LLM Integration

Updated: August 30, 2025

Workshop materials for Neo4j graph database

• Focus: Knowledge Graphs, Database Management

• Generative AI - Working with LLMs and generative models
• LLM Operations - Deployment, monitoring, and optimization of Large Language Models
• RAG Systems - Retrieval-Augmented Generation architectures
• Model Context Protocol (MCP) - Advanced AI communication protocols
• Agentic AI - Autonomous AI agent development
• AI Security - ML model security assessment (Counterfit)

• Docker Community Leadership - Active Docker community contributor
• Edge AI Deployment - NVIDIA Jetson Thor Docker AI Lab
• Container Orchestration - Kubernetes (CKA practice environments)
• IoT Containerization - CounterFit IoT sensor simulation

• Microsoft Azure - Azure AI Fundamentals, TDSP, Bot Services
• CI/CD - DevOps automation and pipeline management
• Infrastructure as Code - Ansible, automation scripts
• Database Management - Neo4j, SQL Server (SSIS)

• Web Development - Full-stack applications (PHP, JavaScript, Python)
• Bot Development - Microsoft Bot Framework
• GUI Development - Python Tkinter applications
• API Development - FastAPI, RESTful services
• Low-Code/No-Code - Platform development and implementation

Total Repositories: 29
├─ Original Projects: 7
├─ Forked & Customized: 22
│
├─ Primary Languages:
│  ├─ Python: 10 repositories
│  ├─ JavaScript: 5 repositories
│  ├─ HTML: 5 repositories
│  ├─ Java: 1 repository
│  ├─ PHP: 2 repositories
│  └─ Others: 6 repositories
│
└─ Focus Areas:
   ├─ AI/ML: 8 repositories
   ├─ DevOps: 7 repositories
   ├─ Cloud/Azure: 6 repositories
   ├─ Bot Development: 2 repositories
   └─ Web Development: 6 repositories

• ✅ Prompt Engineering - Udemy Prompt Engineering Course materials
• ✅ MCP (Model Context Protocol) - Awesome MCP Lists curation
• ✅ Edge AI - NVIDIA Jetson Thor deployment
• ✅ Graph Databases - Neo4j RAG implementations
• ✅ Qualcomm AI - AI Hub Models optimization

• ✅ Azure AI Fundamentals (AI-900) - Microsoft Learn labs
• ✅ Certified Kubernetes Administrator (CKA) - Practice environments
• ✅ Microsoft Bot Framework - Bot Builder samples and implementations
• ✅ DevOps - Multiple DevOps class codes and implementations
• ✅ Ansible - Mastering Ansible (4th Edition)
• ✅ Azure TDSP - Team Data Science Process utilities and templates
• ✅ Python Development - DevOps in Python, GUI Programming with Tkinter
• ✅ JavaScript - Complete JavaScript course materials

1. RAG-Test - 3-tier Neo4j chat application with AI-powered Cypher query generation
2. language_que_card - Flask application using Azure Cognitive Services
3. Qualcomm AI Hub Models - State-of-the-art ML models optimized for Qualcomm devices
4. Counterfit - CLI for ML model security assessment
5. Awesome AIData - Open source innovation in AI and data

1. Nvidia-AGX-Jetson-Thor-Docker-AI-Lab - Comprehensive guide for Jetson AI workloads
2. CounterFit IoT - Simulator for IoT sensors and actuators

1. DevOpsClassCodes - Java web app (AddressBook) demonstrating SDLC
2. simple-php-website - DevOps project (3 forks by community)
3. Ansible Mastery - Advanced automation implementations
4. CKA Practice Environment - Kubernetes certification preparation

1. Azure TDSP ProjectTemplate - Data science project standardization
2. Azure TDSP Utilities - Productive data science utilities
3. Microsoft Bot Framework - Bot samples and implementations
4. Azure AI-900 - AI Fundamentals lab files

I'm always interested in collaborating on:

• 🤖 AI/ML projects, especially LLM Ops and RAG systems
• 🐋 Docker and containerization solutions
• 🔗 Model Context Protocol implementations
• 🎯 Agentic AI development
• ☁️ Cloud-native architectures
• 📱 Innovative application development

Reach out to me:

• 💼 LinkedIn: in/raveendiranrr
• 🐦 Twitter: @RaveendiranRR
• 🌐 Website: tech-experiments.com