Ilias Benkamoun
AI Engineer · Data

Ilias Benkamoun

Computer Engineering Graduate specialized in Artificial Intelligence, Machine Learning, Deep Learning, Multimodal AI and Medical Imaging.

About

I am a Computer Engineering graduate currently pursuing advanced studies in Artificial Intelligence. My work focuses on Machine Learning, Deep Learning, Multimodal AI, Explainable AI (XAI), Retrieval-Augmented Generation (RAG), and medical imaging applications.

I enjoy building intelligent systems that bridge research and software engineering, transforming scientific ideas into real-world applications.

Education

Master's Degree in Artificial Intelligence (I2A)

Paris 8 University · 2026–2027

Computer Engineering — MIAGE

EMSI Casablanca · 2023–2026

DEUST Mathematics, Computer Science & Physics

FST Mohammedia · 2021–2023

Research Experience

Research Intern — Télécom SudParis

Developed Machine Learning and Deep Learning models for multimodal medical data analysis involving 3D MRI scans, imaging modalities, and video-based clinical information.

Worked on feature engineering, reproducible pipelines, Explainable AI (SHAP, Grad-CAM), and post-stroke clinical decision support systems.

Professional Experience

Royal Air Maroc (RAM)

Developed AI-powered solutions including RAG chatbots and anomaly detection systems.

ONDA

Built enterprise platforms using Spring Boot, React and Keycloak.

Selected Projects

Technical Skills

Python PyTorch TensorFlow Scikit-learn Machine Learning Deep Learning LLMs RAG XAI Spring Boot React FastAPI Docker SQL Keycloak

Certifications