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AdityaMedidala/README.md

👋 Hi, I'm Aditya

Skills

My Skills

About me

  • 🎓 Final-year IT undergrad @ VIT Vellore
  • 🔨 Building backend systems and AI-powered applications
  • 🌱 Learning distributed systems, vector databases, and open-source workflows
  • 🔀 Recently made my first OSS contribution to fastapi-limiter
  • 🪖 NCC Lance Corporal — NCC "C" Certificate holder

Featured Projects 🚀

Project Description Stack
VIT QA Bot Document-grounded RAG system with hallucination control FastAPI · pgvector · Next.js
Invoice-Parser AI invoice extraction at 90%+ accuracy React · FastAPI · Gemini
Multi-Agent Financial Document Analyzer Financial PDF Q&A with 4 CrewAI agents FastAPI · Celery · Redis
Wallet Service Double-entry bookkeeping with concurrency handling Python · PostgreSQL

Connect with me 📬

GitHub LinkedIn

📧 djaditya200@gmail.com

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  1. RoomBooking_Production RoomBooking_Production Public

    Enterprise-style room booking platform featuring transactional scheduling, admin controls, and automated email notifications built with React, Node.js, and PostgreSQL.

    TypeScript

  2. nova-frontend nova-frontend Public

    Chat interface for NOVA — space-themed UI with aurora background, shooting stars, and tsParticles constellation. Built with Next.js 14, Framer Motion, and react-markdown. Connects to a FastAPI RAG …

    TypeScript

  3. nova-backend nova-backend Public

    RAG pipeline powering NOVA — hybrid BM25 + vector search over 68 VIT Vellore documents, with Cohere reranking, multi-turn query rewriting, and a FastAPI chat endpoint. Built with PostgreSQL + pgvec…

    Jupyter Notebook

  4. dinoventures dinoventures Public

    A backend wallet service featuring double-entry bookkeeping, deadlock prevention, and robust concurrency handling

    Python

  5. invoice-app invoice-app Public

    AI-powered invoice extraction and management system using Google Document AI and Gemini, built with React, Redux, and a FastAPI backend.

    TypeScript

  6. Financial-Document-Analyzer Financial-Document-Analyzer Public

    AI pipeline that reads financial PDFs and answers questions grounded strictly in the document. Built with CrewAI (4 agents), FastAPI, Celery, Redis, and MongoDB. Includes 17 documented bugs found a…

    HTML