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  • Boston
  • 07:33 (UTC -04:00)

Achievements

Achievement: QuickdrawAchievement: Pull Shark

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Achievement: QuickdrawAchievement: Pull Shark

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anudeepreddyv/README.md

💫 About Me:

👋 About Me

I’m a Software Engineer with experience in building and enhancing scalable, microservices-based applications using Java and Spring Boot. I enjoy working on backend systems, designing clean and maintainable APIs, and contributing to full-stack solutions that are reliable and performance-oriented.

I’ve worked on enterprise applications across domains, collaborating with cross-functional teams in Agile environments to deliver high-quality software. My interests lie in cloud-native development, distributed systems, and hybrid cloud platforms, and I’m continuously learning modern engineering practices inspired by open-source communities.

💻 Tech Stack:

Java JavaScript TypeScript Spring Angular.js Django FastAPI React Apache Airflow Apache Tomcat Apache Jenkins MicrosoftSQLServer MongoDB MySQL Postgres GitHub Git GitLab GitHub Actions AWS Docker CSS3 Bootstrap Oracle

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  1. Spades Spades Public

    A simple game of spades that can be played with a deck of cards

    TypeScript

  2. Climate_Clock_Project Climate_Clock_Project Public

    A real-time Python CLI dashboard that fetches and displays live climate data from the Climate Clock API, including the carbon deadline countdown, renewable energy percentage, conservation metrics, …

    Python

  3. algorithms algorithms Public

    A repository for the purpose of practicing algorithms through coding challenges.

    JavaScript

  4. coding-interview-university coding-interview-university Public

    Forked from jwasham/coding-interview-university

    A complete computer science study plan to become a software engineer.

  5. Deep-Learning-Workshop Deep-Learning-Workshop Public

    Forked from coding-blocks-archives/Deep-Learning-Workshop

    Deep learning workshop on 31 may 2020

    Jupyter Notebook

  6. Face-Detection-Workshop Face-Detection-Workshop Public

    Forked from coding-blocks-archives/Face-Detection-Workshop

    Jupyter Notebook