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kamalviewcode-spec/README.md

Hi there, I'm Kamalasekar Perumal 👋

Senior Software Engineer | AI & MCP Enthusiast | Full-Stack Developer

LinkedIn GitHub

🧑‍💻 About Me

Experienced Senior Software Engineer specializing in Python, Java/Spring Boot microservices, full-stack development, and AI-powered tooling. I work across the entire software development lifecycle — from requirements gathering and system design through coding, testing, CI/CD pipelines, and production deployment.

Currently building at the intersection of enterprise backend systems and AI agent frameworks, leveraging the Model Context Protocol (MCP) ecosystem to create intelligent, tool-augmented applications that bridge LLMs with real-world systems.

🏢  Senior Software Engineer
🐍  Specialized: Python · AI/ML · Agentic Frameworks
☕  Backend: Java · Spring Boot · GraphQL · Maven
🔭  Currently building AI agent systems with MCP integrations
🚀  CI/CD: Jenkins · GitHub Actions · Docker · Kubernetes
🔍  Monitoring & Quality: Splunk · SonarQube
🌱  Passionate about AI/ML, agentic workflows & developer tooling
💡  Advocate for clean architecture & scalable system design

🛠️ Tech Stack

Languages

Python Java JavaScript TypeScript SQL

Backend & Frameworks

Spring Boot Maven GraphQL Node.js React

AI & Machine Learning

OpenAI Anthropic MCP LangChain

DevOps & CI/CD

Docker Kubernetes Jenkins GitHub Actions Git

Monitoring & Quality

Splunk SonarQube Insomnia

IDEs & Tools

IntelliJ IDEA Cursor VS Code Linux

Cloud & Infrastructure

AWS Azure

🚀 Featured Projects

🤖 Multi-MCP Agent System

An intelligent AI agent framework that orchestrates multiple MCP (Model Context Protocol) servers simultaneously — combining web browsing via Playwright MCP and local file system operations into a unified agentic workflow.

Tech: Python MCP Playwright Node.js AI Agents

Demonstrates real-world integration of LLMs with external tools through the MCP standard, enabling agents to browse the web and manipulate files autonomously.

📈 Contribution Graph

Kamalasekar's GitHub Activity Graph

🎯 Current Focus

  • 🔬 AI Agents & MCP — Building production-grade agentic systems using the Model Context Protocol
  • 🧩 Multi-Tool Orchestration — Composing multiple MCP servers (Playwright, filesystem, and more) into cohesive workflows
  • 📖 Open Source — Sharing learnings and reusable patterns for the AI developer community
  • 🏗️ Architecture — Designing scalable, maintainable systems for enterprise environments

🤝 Let's Connect

I'm always open to collaborating on AI agent projects, MCP integrations, or any innovative software engineering challenge. Feel free to reach out!

LinkedIn GitHub

⚡ Built with passion for clean code and intelligent systems

Pinned Loading

  1. Project_1_Multiple_MCP Project_1_Multiple_MCP Public

    AI agent framework that orchestrates multiple MCP (Model Context Protocol) servers — combining Playwright web browsing and filesystem operations into unified agentic workflows.

    Python

  2. Project_2_Own_MCP_Server Project_2_Own_MCP_Server Public

    Custom MCP server for AI-powered investment account management — buy/sell shares, check balances, and manage strategies via Claude agents.

    Python

  3. Project_3_MCP_LibSQL_Concept Project_3_MCP_LibSQL_Concept Public

    Stateful AI agents using MCP (Model Context Protocol) + LibSQL for persistent memory — agents that remember across sessions.

    Python

  4. Project_4_MCP_WEB_API Project_4_MCP_WEB_API Public

    AI-powered stock market research system using Brave Search, Polygon APIs & Claude agents with MCP server integration

    Python

  5. Project_5_AI_ChatBot Project_5_AI_ChatBot Public

    AI chatbot powered by Groq (Llama 3.3 70B) + LangChain + Streamlit with personality switching, conversation history, and a modern dark UI.

    Python

  6. Project_6_AI_Agent_CSV_Visual Project_6_AI_Agent_CSV_Visual Public

    Chat with your CSV data in plain English — AI agent that writes & runs Python code, generates interactive charts, and explains insights using DeepSeek V3 + LangChain + Streamlit

    Python