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haythem-abdellaoui/README.md
Coder GIF # `> Hello, World! I'm Haythem Abdellaoui` 👨‍💻

Typing SVG

🧑‍💻 About Me

name: Haythem Abdellaoui
role: Software Engineering Student
location: Tunisia 🇹🇳
status: Building production-ready systems, one commit at a time 🚀
 
focus:
  - Backend Development
  - Cloud Computing & Infrastructure
  - DevOps & Automation
 
interests:
  - Artificial Intelligence
  - Machine Learning & LLMs
  - Retrieval-Augmented Generation (RAG)
 
goal: "Become a skilled engineer capable of building
       and operating production-ready systems."

🌐 Socials:

LinkedIn email

🛠️ Tech Stack

🔤 Languages

Python TypeScript JavaScript Java C C++ C# PHP Dart Bash

🚀 Frameworks & Libraries

Spring FastAPI Django Flask Express.js NodeJS Angular Flutter .Net Symfony

☁️ Cloud & DevOps

AWS Azure OpenStack Docker Kubernetes Terraform Ansible Jenkins

📊 Monitoring & Quality

Grafana Prometheus SonarQube

🗄️ Databases

Postgres MySQL Redis SQLite

📊 GitHub Stats


🏆 GitHub Trophies

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  1. Application-Mobile-Intelligente-de-Recommandation-des-Films Application-Mobile-Intelligente-de-Recommandation-des-Films Public

    An intelligent movie recommendation mobile app built with Flutter, FastAPI, and MySQL. Uses ML models to deliver personalized movie suggestions based on user preferences and ratings.

    Python

  2. Ooredoo-Gestion-Des-Equipements Ooredoo-Gestion-Des-Equipements Public

    Ce projet, réalisé dans le cadre de mon stage chez Ooredoo Tunisie, contient le code source complet de l’application, incluant le back-end en Symfony et Python, ainsi que le front-end en HTML/CSS. …

    Twig

  3. Movie_Recommendation_ML_Notebook Movie_Recommendation_ML_Notebook Public

    Movie recommendation system using XGBoost, clustering & hybrid approaches. All models trained, evaluated and saved for deployment. Built with Python, scikit-learn & MovieLens data.

    Jupyter Notebook

  4. Movie_Recommendation_System_Web_App Movie_Recommendation_System_Web_App Public

    Forked from Feriel-BESBES-esprit/MovieRec

    An intelligent movie recommendation mobile app built with Django. Uses ML models to deliver personalized movie suggestions based on user preferences and ratings.

    Python

  5. Cloud-Application-Platform-on-OpenStack-Kubernetes-Heat-Ansible- Cloud-Application-Platform-on-OpenStack-Kubernetes-Heat-Ansible- Public

    Cloud Infrastructure-as-code project that provisions OpenStack resources with Heat and deploys a Kubernetes cluster via Ansible to run and monitor containerized web applications.

  6. Serenity Serenity Public

    A microservice-based mental healthcare platform. Built with Spring Boot, Angular, FastAPI, JWT/OAuth2, WebSocket, MySQL, PostgreSQL & Redis. Features AI-powered diagnosis, prescription verification…

    Jupyter Notebook