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RAJESHVHANKADE/README.md

Hi πŸ‘‹, I'm Rajesh Vhankade

AI Engineer β€’ Generative AI β€’ Agentic AI β€’ Production AI Systems

Building production-ready AI applications powered by LLMs, RAG, Agentic Workflows, and Cloud Infrastructure.


πŸš€ What I'm Building

Employee Sync System

AI-powered employee onboarding and knowledge platform that transforms organizational documents into an intelligent assistant.

Core Features

  • πŸ“„ Intelligent document ingestion
  • 🧠 RAG-powered knowledge retrieval
  • πŸ€– Multi-agent workflows
  • πŸ” Semantic search
  • ⚑ FastAPI backend
  • ☁️ AWS deployment

βš™οΈ Tech Stack

πŸ€– Generative AI

OpenAI LangChain LangGraph RAG MCP

🧠 AI / ML

NLP Embeddings Semantic Search Hugging Face

πŸ” Retrieval & Search

FAISS ChromaDB Hybrid Search

⚑ Backend

Python FastAPI REST API

πŸ—„οΈ Databases

PostgreSQL MongoDB SQLite

☁️ Cloud & DevOps

AWS Docker CI/CD


Building AI systems that move beyond demos into production.

Pinned Loading

  1. enterprise-knowledge-assistant enterprise-knowledge-assistant Public

    A Retrieval-Augmented Generation (RAG) chatbot built with ChromaDB, and a local LLM (Llama.cpp).

    Makefile

  2. hr-payroll-sync-platform hr-payroll-sync-platform Public

    A Python-based prototype that demonstrates how employee data changes can be synchronized between HR and Payroll systems using Model Context Protocol (MCP) and LangChain.

    Python