ghoussoun sayeh

Software Engineering Student

Salaire / Taux journalier

Monastir, Tunisie

Freelance, ouvert au CDI

Expertises

ReactDjangoDockerKubernetesPrometheusGrafanaAnsiblePythonMySQLn8nIAAutomatisations No-codeDevOps.NETFlutterAngularJavaSymfonyGestion des stocksTerraformAzureNodeSpring BootRequêtes SQLFirebasepandasNumPyCoaching agileScrumPower BIOdooHadoopAWS

Langues

Arabe (Maternelle)Français (Maternelle)Anglais (Courant)

À propos

Introduction

👋 I'm Ghoussoun Sayeh, a Computer Engineering graduate passionate about DevOps, Cloud Computing, Kubernetes, and CI/CD.I enjoy designing, automating, and optimizing software delivery pipelines while building reliable and scalable cloud infrastructures. During my internship at LEONI, I worked on DevOps practices, containerization with Docker, Kubernetes orchestration, monitoring with Prometheus and Grafana, and CI/CD automation using GitHub Actions.💡 I'm currently looking for a Junior DevOps Engineer or Cloud Engineer opportunity where I can contribute to innovative projects, expand my technical expertise, and help organizations deliver reliable and efficient solutions.I'm always eager to learn, collaborate, and take on new challenges. Let's connect and build the future together! 🚀

Liens

Expérience de travail

Stage pfe

LEONI TUNISIA

févr. 2026 - Présent

9 mois

Sousse, Tunisie

Development of an intelligent full-stack recruitment and internship management platform (LEONI RH) as part of my Software Engineering End-of-Studies Project (PFE), integrating a complete DevOps lifecycle from development to production. 🔹 Tech Stack: React 18, Django 6 (Django REST Framework), MySQL 8, Docker, Kubernetes, GitHub Actions, SonarCloud, Prometheus, Grafana, n8n, Groq API (LLaMA) 🔹 Application Features: AI-powered CV-to-job matching using Groq API (LLaMA models) with multi-criteria candidate scoring. Intelligent workflow automation and orchestration using n8n for CV extraction, candidate evaluation, and recruitment processes. End-to-end recruitment management, including applications, interviews, and administrative file management. 🔹 End-to-End DevOps Implementation: Containerization: Dockerized the frontend, backend, MySQL database, and n8n services. Continuous Integration (CI): Automated testing and build pipelines with GitHub Actions. Code Quality: Continuous static code analysis with SonarCloud. Container Orchestration: Kubernetes deployment with dedicated namespaces, services, autoscaling (HPA), and self-healing capabilities. Continuous Delivery (CD): Automated image building and deployment workflows. Monitoring & Observability: Real-time application and infrastructure monitoring using Prometheus and Grafana. 🔹 Methodology: Agile Scrum (5 Sprints / 2 Releases) 🔹 Skills Developed: Full-Stack Application Architecture End-to-End DevOps (Docker, Kubernetes, CI/CD, Monitoring) Workflow Automation with n8n Applied Artificial Intelligence (LLMs & Candidate Scoring) UML Analysis & Software Design Agile Project Management (Scrum)

Mobile Development Intern

Rayen Soft SUARL

juil. 2025 - juil. 2025

1 mois

Gouvernorat Zaghouan, Tunisie

Quality Control Manager

Bacovet

déc. 2018 - oct. 2019

11 mois

Monastir, Tunisie

Final Year Project

Damartex

mars 2017 - juil. 2017

5 mois

Zriba Village, Tunisie

Technician Internship

Azur

juin 2016 - juil. 2016

2 mois

First internship

Damartex

juil. 2015 - juil. 2015

1 mois


Formation

Private Polytechnical school Monastir

Engineer, software

2023 - 2026

3 ans 1 mois

National Engineering School of Monastir

National Degree in Textile Engenieering, Science du textile

2014 - 2017

3 ans 7 mois

National Engineering School of Monastir

Engineer's degree, textile

2015 - 2017

2 ans 1 mois


Licences et certifications

Cloud Computing

Délivré le : août 2026

Certifié par IBM

CI/CD & DevOps

Délivré le : août 2026

Certifié par Le Bon Développeur

Kubernetes

Délivré le : août 2026

Certifié par Le bon developpeur

IT Specialist Cloud Computing

Délivré le : avr. 2026

Certifié par Certiport - A Pearson VUE Business

Fundamentals of Deep Learning

Délivré le : janv. 2025

Certifié par NVIDIA

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