
AI & Software Engineering Program
Zone01 Oujda
Oujda
Project-based peer-learning program focused on software engineering, full-stack development, systems programming, and AI.

AI & Software Engineer
01 — Curriculum
Full Stack · Real-time application

Social platform with profiles, groups, live chat and notifications, built with Next.js, React, Go and SQLite for connected communities.
Full Stack · JavaScript Framework
JavaScript framework built from scratch with DOM abstraction, routing, state management and events, demonstrated in a TodoMVC application.

AI · Mobile HealthTech
Mobile microbiology platform using AI to read antibiograms and laboratory test strips, with workflows designed for multiple clinical laboratories.
Data Science · Machine Learning
Credit risk analysis combining data exploration, feature engineering and model evaluation, with SHAP explanations and interactive charts.
AI · Deep Learning
Facial emotion recognition using a neural network, with image preprocessing, model training, evaluation and live inference through OpenCV.
Full Stack · Systems Programming
Nonblocking Java HTTP server with routing, file uploads, sessions and CGI execution, plus configurable error handling through Java sockets.
Systems · Unix Shell
Unix style shell written in Rust, featuring command parsing, built in commands, file system operations, error handling and graceful end of input.
Full Stack · Multiplayer Game
Multiplayer browser game with destructible blocks, bombs, power ups, player lives and live chat, built with JavaScript, DOM and WebSockets.
The experiences, projects, and opportunities that have shaped my professional journey.

Oujda
Project-based peer-learning program focused on software engineering, full-stack development, systems programming, and AI.
Remote (Belgium)
Contributed to an AI-assisted laboratory platform for clinical and laboratory data analysis.

Oujda
Training in the design and development of full-stack web applications using the MERN stack.

Casablanca
Progressed from an internship to laboratory technician responsibilities, supporting clinical analyses across several diagnostic disciplines.
04 — Studies

AI for healthcare: machine learning, deep learning, CNNs for medical imaging, bioinformatics and data analysis.

Medical bio-analyses, completed alongside a laboratory-technician job.

Technical training in biological engineering and food-processing.
05 — Skills