Experience

PhD in Artificial Intelligence

Topic: Handwritten Text Recognition of medieval Arabic scientific manuscripts and development of dedicated LLM.

State Engineer's Degree — AI & Computer Science Engineering

Selective access based on average. Graduated with Highest Distinction.

Baccalaureate in Mathematical Sciences (French option)

Highest Distinction.

Research Intern — AI & Medical Imaging

Medical image segmentation using few-shot learning techniques.

• Conducted a state-of-the-art review of segmentation algorithms with limited data and few-shot learning.
• Processed MRI and CT images, understanding their specificity and formats.
• Developed a segmentation model based on the U-Net architecture in a few-shot learning configuration.

Volunteer Computer Vision Developer

Intelligent platform for real-time sign-language to text translation.

• Conducted a state-of-the-art review of hand detection and segmentation methods.
• Developed a CNN-based algorithm for hand gesture recognition.
• Created an interface and deployed developed algorithms using Flask and OpenCV.

Computer Vision Intern

Intelligent solution for segmentation of damaged vehicle areas.

• Collected and processed car images using Python, Selenium, and Scrapy.
• Implemented a CNN for classification of damaged vehicles using PyTorch.
• Developed a licence plate verification algorithm combining CNNs and OCR.

AI & Image Processing Intern

PPE detection from video to minimise operational risks in industrial environments.

• Built a structured dataset containing various PPE classes from diverse sources.
• Designed a PPE detection and recognition algorithm based on CNNs.