AI与容器化技术专家

专注于Docker容器化、生成式AI、LLM操作、模型上下文协议(MCP)和代理AI系统的技术专家,提供AI/ML项目、Docker解决方案和云原生架构支持。

  • by Raveendiran-RR
  • 本地部署
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在 GitHub 查看 Raveendiran-RR/Raveendiran-RR

使用说明

👋 Hey there! I'm Raveendiran RR

🐋 Docker Community Contributor | 🤖 Generative AI | 🚀 LLM Ops | 🔗 MCP (Model Context Protocol) | 🎯 Agentic AI Protocols

📍 Bangalore, India | 💭 All is well


🎯 About Me

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.


🏆 GitHub Achievements

Pull Shark | Arctic Code Vault Contributor


🔥 Featured Projects

🚀 Latest & Most Active

Docker AI Governance Simspace

Docker AI Governance Simpaces

Docker Surreal DB Extension

A Retrieval-Augmented Generation (RAG) chatbot that analyzes your WhatsApp conversations using vector embeddings and LLMs.

Surreal DB RAG system

A Docker Desktop Extension for managing and interacting with SurrealDB instances

Nvidia-AGX-Jetson-Thor-Docker-AI-Lab

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

RAG-Test

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

neo4jworkshop

Updated: August 30, 2025

Workshop materials for Neo4j graph database

  • Focus: Knowledge Graphs, Database Management

💼 Technology Stack

Languages & Frameworks

AI & ML Technologies

DevOps & Cloud


📚 Areas of Expertise

🤖 AI & Machine Learning

  • 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 & Containerization

  • 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

☁️ Cloud & DevOps

  • 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)

📱 Application Development

  • 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

📊 Repository Breakdown

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

🎓 Learning Journey

Recent Focus Areas (2024-2025)

  • ✅ 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

Past Certifications & Learning Paths

  • ✅ 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

🌟 Notable Contributions & Projects

AI & Machine Learning Projects

  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

Docker & Edge Computing

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

DevOps & Infrastructure

  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

Azure & Cloud

  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

📫 Let's Connect!

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:


💭 "All is well"

Building the future with AI, one container at a time 🚀