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20 followers · 59 following

Achievements

Achievement: Pair Extraordinairex2Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO

Achievements

Achievement: Pair Extraordinairex2Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO

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haard04/README.md

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Hello,

I'm Haard Shah, Working as Software Engineer at Heizen (Formaly OpenGIG) , Completed my Bachelor's in Computer Engineering From Pandit Deendayal Energy University, Gandhinagar in 2025.

About

I am a passionate and experienced software engineer with a strong background in computer science. I am proficient in a variety of programming languages and frameworks, including C/C++, JavaScript, Typescript, Python, SQL, Dart, and Java. I have experience in a variety of projects, including app development, web development, and operating systems. I am also a strong communicator and leader.


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Skills 💼

Programming Languages

C++ C Python JavaScript TypeScript Java Scala

Web Development

NodeJS Express.js NextJs NestJS React Django Flask FAST API Prisma HTML5 CSS3 Bootstrap

Databases

MongoDB Firebase MySQL Postgre SQL

App Development

Flutter

Cloud & DevOps

Docker AWS GCP Jenkins Terraform

Tools & Tech

Postman Git Jira

GitHub Stats 📊

Leetcode Stats 📊

Popular repositories Loading

  1. cliniflow-app cliniflow-app Public

    Cliniflow was made as a solution of problem statement in Hackout'23 held at DAIICT,Gandhinagar

    Dart 3 1

  2. CPU_schedule CPU_schedule Public

    CPU scheduling app for OS group project

    Dart 2 3

  3. musipedia musipedia Public

    JavaScript 1

  4. haard-portfolio haard-portfolio Public

    CSS 1

  5. careercatalyst careercatalyst Public

    Career Catalyst is a web application designed to help users track and manage their job applications seamlessly. It provides a user-friendly interface for organizing job opportunities and monitoring…

    JavaScript 1 2

  6. RideSecure RideSecure Public

    Forked from kashishparmar02/triple-rider-detection

    It Detects motorcycles with more than two riders, helmet compliance, and mobile usage using YOLOv8, trained on a custom dataset of 6,000+ images.

    Jupyter Notebook 1