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  • Bloomington, Indiana, United States
  • 10:42 (UTC -04:00)
  • LinkedIn in/nainesh-rathod

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nainesh-20/Readme.MD

Hi there, I'm Nainesh Rathod! 👋

I am a Data Scientist and AI Engineer passionate about building intelligent systems that solve real-world problems. With a Master's in Data Science from Indiana University and a strong engineering background, I specialize in Generative AI, Agentic Systems, LLMs, and Full-stack Development.

📍 Location: Washington D.C.
🎓 Education: M.S. in Data Science (Indiana University Bloomington)
💼 Open to work: Actively seeking full-time opportunities in AI/ML and Data Science.

🛠️ Technical Skills

  • Languages: Python JavaScript C++ SQL R
  • AI/ML: PyTorch LangChain RAG Agentic AI CrewAI Gemini/OpenAI APIs Computer Vision NLP
  • Web & Backend: FastAPI Streamlit Flask React Node.js
  • Cloud & DevOps: AWS Docker Kubernetes CI/CD MLflow
  • Data: PostgreSQL MongoDB Pinecone FAISS Kafka Spark

🚀 Featured Projects

🧠 Generative AI & Agentic Systems

Project Description Tech Stack
Multi-Agent AI Travel Planner An autonomous multi-agent system that orchestrates specialized agents (Flight/Hotel Analysts) to generate personalized travel itineraries. Python CrewAI Gemini 2.5 FastAPI Streamlit SerpAPI
Agentic AI for Supply Chain An intelligent RAG system for international supply chain management, enabling natural language querying of contracts and shipments. LangChain LangGraph MongoDB Atlas Claude 3.5 Tavily API
Reddit Thread Analyzer A multi-modal GenAI application that analyzes and summarizes lengthy Reddit threads, including image content verification. Python Gemini Vision AsyncIO AWS S3 Streamlit
AI-Powered Frisbee Rules Assistant Full-stack RAG assistant for querying complex frisbee rules with source attribution. LlamaIndex FastAPI React PostgreSQL Ollama Docker
Contextual Document Chatbot A RAG-based QA system capable of real-time querying over custom document corpora with high retrieval accuracy. LangChain OpenAI GPT-3.5 Pinecone FAISS

📊 Data Science & Computer Vision

Project Description Tech Stack
Unsupervised Learning for Text Analyzed 52k+ Reddit comments using clustering and topic modeling to quantify discourse themes and sentiment. Scikit-learn NLP K-Means LDA VADER Matplotlib
Traffic Sign Classification Real-time traffic sign recognition system achieving 98% F-1 score, deployed as a web app. PyTorch MobileNetV2 Computer Vision Streamlit

📫 Connect with Me

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  1. AskMyDocs AskMyDocs Public

    Python

  2. llm-eval-framework llm-eval-framework Public

    Python