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RAJESHVHANKADE/README.md

Hi, I'm Rajesh Vhankade 👋

AI/ML Engineer building production-ready Generative AI applications.

I build AI solutions powered by LLMs, RAG, and FastAPI, focusing on turning business problems into scalable, reliable products that people actually use.

🚀 What I Work On

  • 🤖 Enterprise AI Assistants
  • 📚 Retrieval-Augmented Generation (RAG) Systems
  • 🔍 Semantic Search & Document Intelligence
  • 🎙️ Voice-enabled AI Experiences
  • ⚡ FastAPI-based AI Services
  • ☁️ Deploying AI applications on AWS

🛠️ Tech Stack

Python • FastAPI • LangChain • LangGraph • OpenAI • FAISS • Docker • AWS

🌱 Currently Exploring

  • Multi-agent workflows
  • Advanced retrieval strategies
  • LLM evaluation and optimization
  • Building reliable AI systems

📌 Featured Projects

🧠 Enterprise Knowledge Assistant

RAG-powered assistant enabling teams to access SOPs, maintenance manuals, and operational knowledge through natural language queries.

🎙️ Voice Service Desk Assistant

Voice-enabled AI assistant combining speech recognition, retrieval, and LLMs to automate employee support interactions.

🔧 MCP Documentation Server

Developer-focused MCP server exposing intelligent documentation retrieval tools for AI assistants and workflows.

🤝 Let's Connect

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  1. StockPredict-Forecasting-Stock-Prices-with-Linear-Regression StockPredict-Forecasting-Stock-Prices-with-Linear-Regression Public

    Using linear regression, this project predicts stock prices based on historical data like past prices, trading volume, and market trends. By training on historical data and testing, it aims to fore…

    Jupyter Notebook 1

  2. Text-Summarization-Project Text-Summarization-Project Public

    Text summarization condenses text into brief summaries, revolutionizing information processing in the digital age.

    Jupyter Notebook

  3. AI-Powered-Invoice-Scanner AI-Powered-Invoice-Scanner Public

    📄 AI-Powered Invoice Scanner is a web app using Google’s Gemini Pro Vision model to analyze invoice images. 📷 Upload an image, and the app extracts insights from the invoice content. 📊 Streamline y…

    Python 1

  4. enterprise-knowledge-assistant enterprise-knowledge-assistant Public

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

    Makefile

  5. Log_classification_project Log_classification_project Public

    Jupyter Notebook

  6. Simplifying-SQLwithNaturalLanguage Simplifying-SQLwithNaturalLanguage Public

    A text-to-SQL system that converts natural language queries into SQL statements for seamless database interaction. Built with BERT and T5, it processes queries and generates accurate SQL. Integrate…

    Python