
PhD student in Electronics, Embedded Systems, Instrumentation, and Artificial Intelligence at ENSA AGADIR: LISAD Laboratory.
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LISAD Laboratory
Data Scientist
June 29, 2026 – Present
Improved-YOLOv10-Cydia-Po
January 3, 2026 – Present
Improved YOLOv10-m is an enhanced object detection model based on YOLOv10, designed to improve feature representation and fine-grained recognition while maintaining high accuracy, computational efficiency, and real-time performance, even in resource-constrained environments.
View ProjectYOLO-Evo
September 11, 2025 – September 11, 2025
YOLO-Evo, built on YOLOv10, is an advanced object detection model. It enhances feature extraction and recognition, achieving an optimal balance between accuracy, computational efficiency, and real-time inference speed, while remaining highly scalable for diverse applications.
View ProjectCustomBottleneck-VGGNet_Tomato_Leaf_Diseases
January 13, 2025 – June 10, 2025
Sustainable agriculture faces challenges like climate change and food security. Tomato diseases demand accurate, timely diagnosis. This study presents the CustomBottleneck-VGGNet model, achieving 99.12% accuracy with 1.4M parameters, surpassing models like MobileNetV2 and ResNet50. A mobile app enables real-time, offline disease detection.
View ProjectArduino-Tutorial-
May 11, 2023 – May 11, 2023
Arduino Tutorial" donne des instructions étape par étape, des schémas de circuits, des exemples de code et des démos vidéo pour créer des projets interactifs avec Arduino. Idéal pour les débutants et les experts, Arduino est open source avec un environnement de programmation facile à utiliser pour des projets innovants d'électronique et d'IoT.
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a strong interest in cutting-edge AI/ML research and practical applications, particularly in computer vision and sustainable agriculture. This aligns well with an innovative and impact-driven culture. The use of diverse technologies (Python, C++, Rust) suggests adaptability and a willingness to explore different tools. However, without more information on collaborative projects or team-based work, a comprehensive cultural fit assessment is limited.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a focus on practical application and problem-solving, such as developing a mobile app for disease detection. However, without psychometric test results or interview data, it is not possible to assess soft skills like logical reasoning, work attitude, stress handling, or team collaboration.