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sai-jagdale/README.md

Hi 👋, I'm Sai Jagdale

👨‍💻 About Me

  • 🎓 Student at MIT ADT University, Pune
  • 🤖 Deep interest in FullStack Development, AI, Machine Learning & Large Language Models
  • 🧠 Exploring Agentic AI systems and intelligent automation
  • 🌐 Full Stack Developer with focus on AI-backed applications
  • 📘 Believe in strong fundamentals, experimentation, and consistency

Full Stack Engineer with hands-on experience building end-to-end systems using modern web technologies, cloud platforms, and AI-enabled components. Trained in backend development, frontend architecture, DevOps fundamentals, and secure deployments, with a strong focus on clean code, system design, and scalability. Experienced in integrating LLMs, RAG pipelines, and intelligent services into production-ready applications.

🛠️ Languages, Frameworks & Tools

Programming & Backend

Python Django Flask FastAPI Node.js Express.js LLMs Ollama RAG Agentic AI AWS Vertex AI React Git LangChain MCP Jupyter Notebook

📚 Areas of Focus

  • Full Stack Development
  • LLMs , RAG , Agentic AI & Multi-Agent Systems
  • ML , Natural Language Processing
  • Optical Character Recognition
  • Information Retrieval
  • AI System Design & Deployment
  • Cloud-based AI APIs (Vertex AI)

🌐 Connect With Me

Email LinkedIn

⭐ Learning deeply, building thoughtfully, and growing consistently.

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  1. MedGuard-AI MedGuard-AI Public

    MedGuard AI is an intelligent 🧠, Django-based web app that uses a multi-agent AI workflow (OCR, Barcode, LLM) to instantly verify medicine authenticity, check for expiry ⚠️, and generate clear safe…

    Python

  2. Augmented-Research-Agent-with-LLM-Tooling Augmented-Research-Agent-with-LLM-Tooling Public

    Deep Research Agent is an intelligent , FastAPI-powered research system that uses a multi-agent AI workflow (LLM reasoning, task decomposition, web search , and structured synthesis) to automatical…

    Python

  3. Sentiment_Analyzer Sentiment_Analyzer Public

    A web-based Sentiment Analyzer that classifies text as Positive 💚, Negative 😡, or Neutral 😐 using a machine learning model trained on Twitter data. Built with Flask, scikit-learn, and NLTK, it feat…

    Jupyter Notebook

  4. Starbucks_Assistant_using_local-AI-Agent Starbucks_Assistant_using_local-AI-Agent Public

    ☕ AI-powered assistant that answers Starbucks-related questions using real reviews, used LLaMA3:Instruct, LangChain, and Ollama , RAG & also Includes real-time Starbucks location lookup, runs fully…

    HTML