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Achievement: Pull Sharkx2Achievement: YOLO

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Achievement: Pull Sharkx2Achievement: YOLO

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hadush-negasi/README.md

💫 About Me:

👋 Hi, I’m Hadush!
🎓 Computer Engineering graduate | 💻 Full-stack Developer | 🤖 Machine Learning Enthusiast
🚀 Passionate about building real-world projects and learning new technologies.

🌐 Socials:

Instagram LinkedIn email Website

💻 Tech Stack:

JavaScript Python TypeScript C# C++ GraphQL HTML5 Java PHP Firebase Netlify Vercel Render DigitalOcean React NodeJS NestJS Next JS Express.js Angular Django Bootstrap OpenCV React Router Redux Remix RxJS SolidJS Streamlit TailwindCSS Apache Tomcat Gunicorn Apache Nginx Firebase MongoDB MySQL Postgres SQLite Supabase Prisma Sequelize Canva Matplotlib Keras NumPy Pandas scikit-learn Scipy TensorFlow GitHub Actions Git GitHub Cisco Docker ESLint Gradle Jira Portfolio Postman Twilio

📊 GitHub Stats:



🏆 GitHub Trophies

🔝 Top Contributed Repo

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  1. job-board job-board Public

    A full-stack Job Board web app built with Django and PostgreSQL (Supabase). Employers can post/manage jobs, and applicants can browse and apply with resumes, cover letters, and portfolio links. Dep…

    Python 3

  2. job-miner job-miner Public

    Real-time job search platform that scrapes listings from Websites and Public Job Api's based on keyword search. Built with React, Node.js, and Cheerio.

    JavaScript 3

  3. laptop-store laptop-store Public

    💻 Full-stack laptop e-commerce site built with React, Node.js, MongoDB, Firebase Auth, and Redux.

    JavaScript 3

  4. recipe-recommender recipe-recommender Public

    A content and collaborative filtering-based recipe recommendation system built with Streamlit and Firebase

    Jupyter Notebook 3

  5. hr-management-system-backend hr-management-system-backend Public

    NestJS backend for HR Management System with PostgreSQL, Prisma, and RESTful API for employee, department, candidate, and salary management.

    TypeScript 1

  6. object-detection object-detection Public

    This is a real-time object detection app built with Streamlit and TensorFlow 2. It supports detection from images, videos, and live webcam input.

    Python 3