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kjayant8628/README.md

Hi 👋, I'm Jayant Kumar

AI Engineer • Machine Learning Engineer • Data Scientist

Building production-ready AI systems with LLMs, RAG, FastAPI, Graph Neural Networks & Machine Learning.

🚀 About Me

  • 🤖 AI Engineer passionate about building production-ready AI systems.
  • 🧠 Experienced in LLMs, RAG, FastAPI, Graph Neural Networks, Machine Learning & Data Science.
  • ⚡ Built secure AI applications using JWT Authentication & RBAC.
  • 🌱 Currently exploring Agentic AI, LangGraph and scalable AI infrastructure.
  • 🎯 Open to AI Engineer, Machine Learning Engineer, and Data Scientist opportunities.

💻 Tech Stack

⭐ Featured Projects

  • 🤖 Multi-Agent RAG API → Agent orchestration, ChromaDB, FastAPI, Groq
  • 🏢 Enterprise RAG Assistant → JWT Authentication, RBAC, Secure RAG
  • 🧬 Drug-Drug Interaction Prediction → GNN + Knowledge Graph
  • 🏠 Real Estate Price Prediction → XGBoost + SHAP + Geospatial Analytics
  • 🌍 Indian Tourism Forecasting → ARIMA vs XGBoost
  • 🍽️ Zomato Data Analysis → SQL, EDA & Business Analytics

📌 Explore the pinned repositories below for complete project documentation

📊 GitHub Analytics

🤝 Let's Connect

⭐ Thanks for visiting my profile!

Always open to collaborating on AI, Machine Learning, Backend Engineering, and LLM-based applications.

Pinned Loading

  1. Enterprise-RAG-Assistant Enterprise-RAG-Assistant Public

    Enterprise AI document assistant with JWT authentication, RBAC, FastAPI, and Retrieval-Augmented Generation (RAG).

    Python 1

  2. Multi-Agent-RAG Multi-Agent-RAG Public

    Production-ready Multi-Agent RAG API built with FastAPI, ChromaDB, and Groq for intelligent document-grounded question answering.

    Python 1

  3. Drug-Drug-Interaction-Prediction Drug-Drug-Interaction-Prediction Public

    Hybrid Graph Neural Network and Knowledge Graph framework for drug-drug interaction prediction using PyTorch.

    Python

  4. Real-Estate-Price-Prediction Real-Estate-Price-Prediction Public

    “End-to-end real estate analytics project covering data cleaning, preprocessing, feature engineering, data warehousing, visualization, and predictive modeling.”

    Python

  5. Indian-Tourism-Forecasting Indian-Tourism-Forecasting Public

    Comparative time-series forecasting of Indian tourism using ARIMA, XGBoost, and feature engineering.

    Python

  6. Zomato-Data-Analysis Zomato-Data-Analysis Public

    End-to-end restaurant analytics project with EDA, SQL, business insights, and machine learning.

    Jupyter Notebook