AI & Full-Stack Developer | Backend & RAG Systems | Open Source Contributor (Apertre 3.0) | NASA Space Apps Global Nominee 🌍

B.Tech Computer Science student passionate about building intelligent, scalable, and secure systems.
I enjoy working on AI-powered applications, backend architectures, and production-ready full-stack platforms.

• 🤖 Retrieval-Augmented Generation (RAG) Systems
• 🔐 Backend Authentication & Authorization (JWT, RBAC, WebSockets)
• 🌐 Full-Stack Applications (MERN, Next.js)
• 📊 Analytics & Performance Tracking Systems
• 🧠 Machine Learning Pipelines

RAG-based adaptive learning platform using a local Mistral LLM (Ollama).

• Quiz generation from PDFs, DOCX, TXT, YouTube transcripts
• Embedding-based retrieval & prompt engineering
• Topic mastery tracking & adaptive revision scheduling

AI-powered interview preparation platform.

• Secure JWT authentication
• Real-time coding practice module
• Performance analytics dashboard

Machine Learning-based question paper generator.

• Random Forest & Linear Regression models
• Bloom’s Taxonomy classification
• Model evaluation & cross-validation

Python JavaScript Java C++ C

React Next.js Tailwind CSS Bootstrap

Node.js Express.js Django

Scikit-learn RAG LLM Integration Prompt Engineering

MongoDB MySQL PostgreSQL SQLite

Git GitHub Postman VS Code

🔹 Contributed to Apertre 3.0

• Implemented JWT-based WebSocket authentication
• Built RBAC and resource-level authorization
• Strengthened backend security architecture

• 💼 LinkedIn: https://linkedin.com/in/jay-shinde-b5634325a
• 📧 Email: jayshinde4554@gmail.com
• 🌐 Portfolio: https://jayshindeportfolio.netlify.app

⭐ Always open to collaborating on AI, backend, and full-stack projects.