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haard04/README.md

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Hello,

I'm Haard Shah, working as a Senior Software Engineer at Heizen (formerly OpenGig), building AI-powered products end to end. I completed my Bachelor's in Computer Engineering from Pandit Deendayal Energy University, Gandhinagar.

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.


Find my Resume

Experience 🚀

  • Senior Software Engineer — Heizen, Hyderabad · April 2026 – Present
  • Software Engineer — Heizen, Hyderabad · July 2025 – March 2026
  • SDE Intern — Heizen, Hyderabad · January 2025 – June 2025
  • Full Stack Development Intern — Marwiz Tech, Vadodara · June 2024 – July 2024
  • Software Development Intern — Welcome Broker, Ahmedabad · May 2022 – May 2023

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 Tailwind CSS Celery

Databases

MongoDB Firebase MySQL Postgre SQL Redis Elasticsearch Pinecone

App Development

Flutter

Cloud & DevOps

Docker AWS GCP Jenkins Terraform GitHub Actions Vercel

Tools & Tech

Postman Git Jira Selenium

GitHub Stats 📊

Leetcode Stats 📊

Popular repositories Loading

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

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  2. CPU_schedule CPU_schedule Public

    CPU scheduling app for OS group project

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  4. haard-portfolio haard-portfolio Public

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  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…

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  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.

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