Who I Am
I'm a Computer Science Engineering student specializing in Cloud & DevOps at ESPRIT, with hands-on experience in full-stack development, cloud infrastructure, DevOps, artificial intelligence, and computer vision. My work spans building scalable web applications, designing CI/CD pipelines, deploying cloud-native solutions, and developing AI-powered systems using machine learning and large language models.
Beyond academics, I enjoy building real-world projects that combine software engineering, cloud technologies, and AI. I'm actively involved in the tech community through organizations such as IEEE and Aerobotix, where I've contributed to the organization of national events and collaborated with multidisciplinary teams on innovative projects.
Skills
Technical expertise across programming, cloud, AI/ML, and collaboration
Programming Languages
Cloud & DevOps
AI / ML
Frameworks & Technologies
Soft Skills
Professional Experience
My work experience in full-stack development, DevOps, and AI engineering.
09/2025 – Present
09/2025 – Present
DevOps & Full-Stack Engineer (Freelance)
HexaFlow • Freelance
Developing dynamic web applications using Angular and Java while improving system architecture through Docker-based containerization.
- Developed and maintained Angular and Java services while improving application portability, scalability and deployment efficiency.
- Tech: Angular, Java, Docker, Kubernetes, GitLab CI/CD.
06/2025 – 08/2025
06/2025 – 08/2025
Web and AI Engineer (Internship)
Arab Soft • Internship
Built a full-stack AI-centric ERP with microservice architecture, reducing support workload by 70% and digitizing workflow.
- Implemented RAG architecture using vector embeddings for intelligent document retrieval.
- Tech: Spring Boot, Angular, Python, RAG, Vector Embeddings, LLMs.
07/2024
07/2024
Computer Vision Intern
The Sparks Foundation • Remote
Developed and trained a YOLOv8-based traffic sign detection system achieving 95% accuracy, improving reliability for embedded applications.
- Tech: Python, PyTorch, OpenCV.
Education
My academic background in computer science and engineering.
2024 – Present
2024 – Present
Computer Science Engineering (Cloud & DevOps)
ESPRIT • Tunisia
4th-year engineering student specializing in Cloud, DevOps, and AI.
2020 – 2024
2020 – 2024
Integrated Preparatory Classes — Math, Physics, Computer Science
INSAT • Tunisia
Rigorous preparatory curriculum in mathematics, physics, and computer science.
My Projects
A collection of full-stack, AI, and cloud projects built from real-world needs.
Eco-Ressource B2B Platform
B2B platform for material exchange with buyer–seller matching, QR-based traceability, and sustainability reporting. Deployed on KVM/OpenStack (backend) and Microsoft Azure (frontend) with full CI/CD, observability via Prometheus & Grafana.
Plant Health App (IEEE Club)
Mobile-based plant health detection app that classifies plant species and identifies anomalies from photos using transfer learning with PyTorch. Integrated image preprocessing, model fine-tuning, and prediction pipeline for field testing.
Khadamni
NLP-based analytics platform for job market intelligence using machine learning models trained on job posting datasets. Built predictive models to identify in-demand roles, estimate salary ranges, and detect fraudulent job advertisements.
Traffic Sign Detection
YOLOv8-based traffic sign detection system achieving 95% accuracy, developed during internship at The Sparks Foundation. Improved reliability for embedded real-world applications.
Let's Connect
Looking for a summer 2026 internship or have an exciting project? I'd love to hear from you.