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codeprnv/README.md

Hi ๐Ÿ‘‹, I'm Pranav Pradhan

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๐Ÿ’ซ About Me:

I am a Full-Stack Engineer focused on designing and building secure, scalable systems using the MERN stack and TypeScript. My work emphasizes clean architecture, API design, and microservice-based backend systems, with strong attention to performance, maintainability, and security.

I am currently transitioning toward enterprise backend development with Java and Spring Boot, focusing on building production-ready REST APIs and strengthening my understanding of distributed systems and cloud fundamentals.

๐Ÿง  Technical Stack:

๐ŸŒ Frontend

ย ย ย ย  ย ย ย ย 



โš™๏ธ Backend & Database

ย ย ย ย  ย ย ย ย 



โ˜๏ธ Cloud & DevOps

ย ย ย ย 



๐Ÿ› ๏ธ Tools & Architecture

ย ย ย ย  ย ย ย ย  ย ย ย ย 

๐Ÿ“š Currently Learning

Java ย โ€ขย  Spring Boot ย โ€ขย  Enterprise Application Architecture ย โ€ขย  Cloud Fundamentals


๐Ÿ“˜ Featured Project

๐Ÿ” Aegis โ€“ Secure Authentication Platform

Microservice-based authentication system with centralized logging, request tracing, and modular backend architecture.


๐Ÿ“‚ Other Projects

๐Ÿ“Š GitHub Stats

๐Ÿ“ž Let's Connect

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  1. aegis aegis Public

    A microservices based secure authentication system

    TypeScript

  2. validus validus Public

    Offline handwritten signature verification using deterministic image processing.

    Python

  3. zyra zyra Public

    A scalable e-commerce microservices architecture leveraging Confluent Kafka for event-driven communication within an Nx workspace.

    TypeScript

  4. Foody Foody Public

    A AI powered application that suggests recipes based on the ingredients available

    Dart 1

  5. movieflix_03 movieflix_03 Public

    MovieFlix is a web application designed for movie enthusiasts to browse, search, and save their favorite movies. It provides a modern interface with rich functionality to enhance the movie discoverโ€ฆ

    JavaScript 1 1

  6. tastetrace tastetrace Public

    TasteTrace: A Google Colab-optimized object detection pipeline for food ingredients using GroundingDINO, SAM, and YOLO. Automate annotation, train custom models, and export to TFLite for edge deploโ€ฆ

    Jupyter Notebook