Skip to content
View lokeshkundi15's full-sized avatar
πŸ’­
Build AI Agents
πŸ’­
Build AI Agents

Block or report lokeshkundi15

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
lokeshkundi15/README.md

Hi, I'm Lokesh πŸ‘‹

πŸ€– Generative AI Developer

Passionate about building AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and modern Generative AI frameworks.

Currently focused on developing production-ready AI solutions with LangChain, LangGraph, MCP, FastAPI, and Vector Databases.


πŸ› οΈ Tech Stack

Programming

  • Python
  • SQL

Generative AI

  • LLMs
  • Prompt Engineering
  • RAG
  • Embeddings
  • Vector Databases

Frameworks

  • LangChain
  • LangGraph
  • FastAPI

AI Agents

  • Agentic AI
  • Tool Calling
  • MCP
  • FastMCP

Databases

  • ChromaDB
  • FAISS
  • Pinecone
  • MySQL

Tools

  • Git
  • GitHub
  • Docker
  • Linux
  • VS Code

πŸš€ Current Learning Journey

βœ… Python Foundations

βœ… SQL

βœ… NumPy & Pandas

βœ… Machine Learning Fundamentals

βœ… LangChain Basics

🚧 Building Production GenAI Projects


🎯 Upcoming Portfolio Projects

  • Context-Aware RAG Chatbot
  • Multi-Source AI Agent
  • Tool Calling AI Agent
  • Enterprise MCP Agent
  • Hybrid RAG System
  • Stateful LangGraph Agent
  • Production AI Agent API

πŸ“« Connect With Me

LinkedIn: www.linkedin.com/in/lokesh-kundi-3a08b9318

GitHub: github.com/lokeshkundi15

Email: lokeshkundi15@gmail.com

Pinned Loading

  1. ai-incident-monitoring-rca-agent ai-incident-monitoring-rca-agent Public

    Autonomous Level-1 SRE Incident Triage Agent built with LangGraph, FastMCP, and FastAPI. Evaluated on 30 golden incidents with 100% verified RCA and 0.0823 ECE.

    Python 1 1

  2. enterprise-knowledge-rag enterprise-knowledge-rag Public

    Production-grade grounded Enterprise RAG pipeline using Hybrid Search (BM25 + Dense Vector), Cross-Encoder Reranking, and Zero-Hallucination Guardrails for auditable compliance search.

    Python 1

  3. enterprise-code-security-agent enterprise-code-security-agent Public

    Autonomous Multi-Agent Code Review & Security Pipeline built with LangGraph, FastMCP, AST Scanners, and Human-in-the-Loop Governance.

    Python 1