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Hi, I’m Ilham Zinoune, an aspiring AI engineer building practical AI solutions and exploring the intersection of machine learning, computer vision, and embedded systems. I’m pursuing a double diploma in AI and image/signal processing at Université de Poitiers, France, with hands-on experience in Python, C++, and ML frameworks, and a passion for turning data into real-world impact. I enjoy collaborating on cross-disciplinary projects, learning new tools, and continuously expanding my technical and design thinking. I’m eager to contribute to ambitious teams that value curiosity, rigorous experimentation, and practical results.…Hi, I’m Ilham Zinoune, an aspiring AI engineer building practical AI solutions and exploring the intersection of machine learning, computer vision, and embedded systems. I’m pursuing a double diploma in AI and image/signal processing at Université de Poitiers, France, with hands-on experience in Python, C++, and ML frameworks, and a passion for turning data into real-world impact. I enjoy collaborating on cross-disciplinary projects, learning new tools, and continuously expanding my technical and design thinking. I’m eager to contribute to ambitious teams that value curiosity, rigorous experimentation, and practical results.

Ilham Zinoune

Data Scientist, Programmer, Data Analyst, +5

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Hi, I’m Ilham Zinoune, an aspiring AI engineer building practical AI solutions and exploring the intersection of machine learning, computer vision, and embedded systems. I’m pursuing a double diploma in AI and image/signal processing at Université de Poitiers, France, with hands-on experience in Python, C++, and ML frameworks, and a passion for turning data into real-world impact. I enjoy collaborating on cross-disciplinary projects, learning new tools, and continuously expanding my technical and design thinking. I’m eager to contribute to ambitious teams that value curiosity, rigorous experimentation, and practical results.…Hi, I’m Ilham Zinoune, an aspiring AI engineer building practical AI solutions and exploring the intersection of machine learning, computer vision, and embedded systems. I’m pursuing a double diploma in AI and image/signal processing at Université de Poitiers, France, with hands-on experience in Python, C++, and ML frameworks, and a passion for turning data into real-world impact. I enjoy collaborating on cross-disciplinary projects, learning new tools, and continuously expanding my technical and design thinking. I’m eager to contribute to ambitious teams that value curiosity, rigorous experimentation, and practical results.

Available to hire

Hi, I’m Ilham Zinoune, an aspiring AI engineer building practical AI solutions and exploring the intersection of machine learning, computer vision, and embedded systems. I’m pursuing a double diploma in AI and image/signal processing at Université de Poitiers, France, with hands-on experience in Python, C++, and ML frameworks, and a passion for turning data into real-world impact.

I enjoy collaborating on cross-disciplinary projects, learning new tools, and continuously expanding my technical and design thinking. I’m eager to contribute to ambitious teams that value curiosity, rigorous experimentation, and practical results.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

French

Fluent

Arabic

Advanced

Work Experience

AI Engineer Intern at CHU Poitiers – I3 Lab, France

January 1, 2025 - June 30, 2025

Implemented a robust 3D glioma segmentation on 7T MRI with advanced deep learning models (UNet3D, MCMA-Net, Swin UNETR). Developed an innovative segmentation model achieving 98% Dice score, surpassing state-of-the-art methods. Enabled autonomous drones for obstacle detection and integrated object detection with ROS2 control. Improved real-time detection in Gazebo-simulated environments. Included credit card fraud detection feature engineering and ML classifiers on a credit-card dataset; built an educational app with a recommender system using PyQt.

Intern at CHU Mohammed VI, Morocco

January 1, 2022 - January 31, 2022

Implemented database collection pipelines to support deep-learning retinal diseased detection.

Stage PFE d’ingénierie IA at CHU Poitiers, I3MLab, France

January 1, 2025 - Present

Stage de 5 mois axé sur la segmentation 3D des gliomes en IRM; utilisation de modèles avancés de deep learning (3D UNet, Swin Transformer); conception et évaluation d’un pipeline de segmentation et d’analyse des données; travail collaboratif en environnement multidisciplinaire.