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45 followers · 151 following

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Achievement: Pair ExtraordinaireAchievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO

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Apolo151/README.md

Hi 👋, I'm Abdallah Ibrahim Ismail

A diverse-skilled tech enthusiast.

  • 🔭 I’m currently working on CI & Testing at JdeRobot
  • 🌱 I am currently learning about AI agents.
  • 💬 Ask me about: DevOps, Web Development, Computer Vision & Autonomous Robots

🌐 Socials:

LinkedIn email

💻 Tech Stack:

Programming Languages and Concepts

C C++ Python JavaScript TypeScript OOP Data Structures Algorithms

DevOps and Developer Tools

Linux Shell Scripting Git Docker Kubernetes Jenkins Vagrant Ansible Terraform Prometheus Grafana AWS

Software and Web Development

Qt Flask NodeJS Express.js FeathersJS PostgreSQL MySQL HTML5 CSS3 React

Computer Vision and Machine Learning

OpenCV PyTorch TensorFlow NumPy Pandas scikit-learn

📊 GitHub Stats:

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  1. shelf-wise shelf-wise Public

    ShelfWise is a library management system

    TypeScript

  2. equation-solver equation-solver Public

    A graphical program to solve simple mathematical equations.

    Python

  3. machathon5.00-judge machathon5.00-judge Public

    The Machathon 5.00 repository provides all the required tools and utilities for the simulation phase of the Machathon 5.00 autonomous car racing competition.

    C++ 3 3

  4. machathon5_api machathon5_api Public

    A REST API for the Machathon 5.00 Tech Summit and its competitions.

    TypeScript

  5. ebrahimabdelghfar/HomeSecurity ebrahimabdelghfar/HomeSecurity Public

    C++

  6. Predict_Bike_Sharing_Demand_with_AutoGluon Predict_Bike_Sharing_Demand_with_AutoGluon Public

    Utilizing AutoGluon library to train several models for the Bike Sharing Demand competition in Kaggle. Using Tabular Prediction to fit data from CSV files provided by the competition.

    HTML