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KirtiJha/README.md

Hi there! I’m Kirti Jha 👋

LinkedIn Medium GitHub

About Me 🚀

Senior Staff Software Engineer & Agentic AI Architect with 13+ years designing and delivering enterprise-scale AI platforms, multi-agent systems, and large-scale applications. I build production-grade Agentic AI ecosystems leveraging LLMs, vector databases, MCP, and cloud-native architectures — on a strong full-stack and Salesforce platform engineering foundation.

  • 🤖 Architecting Agentic AI workflows with LangGraph, CrewAI, multi-agent RAG, and human-in-the-loop systems
  • 🧩 Driving enterprise adoption of the Model Context Protocol (MCP) — building servers, hubs, and 200+ orchestrated AI tools
  • 🎯 Building AI developer-productivity tools (code assistants, documentation helpers, Git-powered agents)
  • ☁️ Delivering scalable systems across IBM Cloud, AWS, Azure, and GCP with Python, TypeScript, and Node.js
  • 📜 Inventor — intellectual property on hierarchical tagging-based contextual code chunking for RAG-based development assistants (IP.com, 2025)

Projects 🔥

A flat list of my projects, newest first:

  • 🌊 flow — Fresh-context Loop for Orchestrated Work: a disciplined, cost-governed five-phase agent workflow (Discuss → Plan → Execute → Verify → Ship) for Claude Code & GitHub Copilot, with per-phase token budgets and an independent verifier gating every ship. Published as @kirtijha1986/flow on npm.
  • 🚀 fusion-mcp-hub — MCP hub for dynamic server orchestration; composes lean custom MCP servers from 300+ tools to cut token bloat, cost, and hallucinations.
  • 🔗 salesforce-mcp-server — Production MCP server exposing Salesforce APIs and data to LLMs and agents, with OAuth 2.0 and enterprise support.
  • 🧩 carbon-salesforce-mcp — MCP server giving AI agents direct access to IBM’s Carbon Design System for Salesforce.
  • ⚙️ orhestrate-adk-studio — Visual studio for building, testing, and observing Orchestrate/ADK-based agentic workflows.
  • 🛠️ langgraph-mcp-studio — MCP client built with Watsonx AI and LangGraph.
  • 🤝 langgraph-salesforce-code-agent — Multi-agent LangGraph RAG system (ISC-CodeConnect) that analyzes, generates, and validates Salesforce code using Watsonx.ai Granite.
  • 💬 isc-code-connect-chat — Copilot-style chat extension for VS Code powering ISC Code Connect.
  • 📜 SpecWiz — ARB technical-specifications companion powered by IBM Watsonx generative AI.
  • 🔍 watsonx-pr-review-agents — Watsonx-powered AI agent that reviews pull requests.
  • ⏳ code-historian — AI-powered VS Code extension for code-history tracking with RAG.
  • ⚛️ react-nextjs-code-assistant-template — Next.js + React template for AI code assistants, pluggable into LLMs, MCP servers, and LangGraph.
  • 📚 code-doc-assistant — Semantic + RAG assistant for querying code and documentation together across large codebases.
  • ⏸️ langgraph-interrupt-workflow-template — Production-ready LangGraph human-in-the-loop interrupt template (FastAPI + Next.js).
  • 🖥️ langgraph-interrupt-workflow-desktop-app — Desktop app for LangGraph interrupt workflows.
  • 🌐 digital-twin — AI digital twin deployed on AWS with Terraform.
  • 🔌 mcp-server-isc-salesforce — Salesforce ISC MCP server.
  • 🤖 GitPal — Conversational interface over any public GitHub repo (Watsonx, LangChain, FAISS, Streamlit).
  • 📄 Watsonx-RAG-Ask-Doc — Chat with any PDF using Watsonx-powered RAG.
  • 📊 chat-complex-pdf-LlamaParse — Chat with complex tabular PDFs using Watsonx + LlamaParse.
  • 🗂️ chat-multiple-pdf — Chat across multiple PDFs at once.
  • 📈 DataFox — Data processing and analysis toolkit for repeatable workflows.
  • 💬 availability-slack-bots — Slack bot to manage team availability, status, and anniversaries.
  • 🎨 Responsive-Website — Responsive website design using Bootstrap 4.
  • 🌍 HTML5-Responsive-Website — HTML5 responsive website design.
  • 📑 HTML5-Cheat-Sheet — HTML5 cheat sheet.
  • 🎨 CSS3-Cheat-Sheet — CSS3 cheat sheet.
  • 🐷 Apache-Pig-Project — Apache Pig country-data project.

Tech Stack 🛠️

Agentic AI & LLMs: LangChain, LangGraph, CrewAI, Strands, OpenAI Function Calling, MCP, RAG Architectures, Agent Core, ADK

Agent Tooling & Orchestration: Claude Code, GitHub Copilot, subagent orchestration, agent governance & cost control, LiteLLM, Amazon Bedrock

Vector Databases: Chroma, FAISS, Milvus, Pinecone, LanceDB, Qdrant, PGVector

Languages

Python TypeScript JavaScript

Frontend

React Next.js Angular

Backend & Cloud

Node.js AWS IBM Cloud MongoDB

Tools & Platforms

Docker Terraform Jupyter Salesforce

GitHub Stats 📊

GitHub Stats Top Languages

Let’s Connect! 💬

I’m always excited to collaborate on agentic AI, MCP ecosystem expansions, and enterprise AI tooling.

Popular repositories Loading

  1. langgraph-interrupt-workflow-template langgraph-interrupt-workflow-template Public

    ⚡ Production-ready LangGraph interrupt template with modern web interface | Human-in-the-loop AI workflows | FastAPI backend + Next.js frontend

    Python 22 7

  2. langgraph-salesforce-code-agent langgraph-salesforce-code-agent Public

    ISC-CodeConnect is a sophisticated multi-agent Retrieval-Augmented Generation (RAG) system specifically designed for Salesforce development. Built with LangGraph and powered by IBM WatsonX.ai Grani…

    Python 4

  3. fusion-mcp-hub fusion-mcp-hub Public

    Solve the MCP token bloat problem. Build lean, custom MCP servers with only the tools you need from 300+ available tools. Reduce LLM costs and hallucinations. Includes CLI, WebSocket proxy, AI-powe…

    TypeScript 2

  4. code-historian code-historian Public

    🕰️ AI-powered VS Code extension for code history tracking with RAG-based natural language search. Capture changes in real-time, search with natural language, and restore any version instantly.

    TypeScript 2

  5. chat-complex-pdf-LlamaParse chat-complex-pdf-LlamaParse Public

    Chat Complex PDF with Tables Using IBM WatsonX and LlamaParser

    Python 1

  6. GitPal GitPal Public

    This project facilitates conversational interaction with any public GitHub repository utilizing advanced technologies such as IBM WatsonX, Langchain, FAISS vector database, and Streamlit.

    Python 1 1