[nom]
AI Engineer | Machine Learning & Deep Learning | Computer Vision
[téléphone] · Morocco, [adresse]
[e-mail] · [lien]
M.Sc. graduate in Advanced Machine Learning and Multimedia Intelligence with experience in AI, Deep
Learning, and Computer Vision. Skilled in developing intelligent systems and data-driven solutions, with a strong interest in AI research, innovation, and real-world applications.
Education
MASTER’S DEGREE IN ADVANCED MACHINE LEARNING AND MULTIMEDIA INTELLIGENCE · 2023–2025
Faculty of Sciences Dhar El Mahrez, Fez
Overall Grade: 15.19/20
Master Thesis: "Optimized Super-Resolution Adapted to Acquisition Conditions" – 17/20
BACHELOR’S DEGREE IN COMPUTER SCIENCE · 2020-2023
Faculty of Sciences Dhar El Mahrez, Fez
Overall Grade: 13.48/20
Final Year Project: "Fingerprint Identification Using Zernike Moment Features versus Deep Learning" – 16/20
BACCALAUREATE IN MATHEMATICAL SCIENCES · 2019-2020
Omar Ibn Al-Khattab High School , Meknes
Overall Grade : 12.90/20
TECHNICAL COMPETENCIES
AI & Deep Learning: Machine Learning, CNNs, Transformers, LLMs, RAG, Transfer Learning.
Computer Vision: Classification, Detection, Segmentation, Super-Resolution.
Frameworks: PyTorch, TensorFlow, OpenCV, Scikit-learn, NumPy, Pandas.
Data Science: Data Preprocessing, Feature Engineering, Model Evaluation.
Programming: Python, C++, Java, SQL.
Infrastructure: Docker, Linux, Cloud Deployment, Databases, Networking.
Professional Experience
AI TEAM LEADER | DEEPNOVA — FEZ, MOROCCO jan. 2026 - Present
Lead AI projects and coordinate AI development teams.
Develop and supervise Machine Learning, Deep Learning, and Generative AI solutions.
Contribute to digital transformation and technical innovation initiatives.
AI ENGINEER | FEZ FESTIVAL OF SUFI CULTURE — FEZ, MOROCCO
Sep. 2025 - Dec 2025
AI-Powered Festival Management Assistant
Developed an LLM-powered assistant using RAG for intelligent information retrieval and visitor support.
Implemented AI pipelines for sentiment analysis, feedback analysis, and automated insights.
Deployed the solution using cloud services, Docker, and MLOps practices.
RESEARCH EXPERIENCE
RESEARCH INTERN | L3I LABORATORY, LA ROCHELLE UNIVERSITY — FRANCE
Apr. 2025 – Jul. 2025
Optimized Super-Resolution Adapted to Acquisition Conditions
Developed deep learning models for image super-resolution under varying acquisition conditions.
Applied image preprocessing and restoration techniques to improve reconstruction quality.
Evaluated model performance using PSNR, SSIM, and image quality metrics.
RESEARCH INTERN | 3D SMART FACTORY — MOHAMMEDIA, MOROCCO
Jul. 2024 – Sep. 2024
Intelligent Phishing Email Detection Using Machine Learning
Developed a machine learning model to automatically detect and classify phishing emails.
Performed data preprocessing, feature extraction, and model training using email datasets.
Evaluated model performance using accuracy, precision, recall, and F1-score to improve phishing detection.
ARTIFICIAL INTELLIGENCE PROJECTS
Computer Vision & Deep Learning
Multi-Sensor AI System for Automated Waste and Damage Detection in Smart Logistics
Urban Facade Geolocation and Building Matching Using GIS and Computer Vision
Building Segmentation from Satellite Imagery Using Deep Learning
Pneumonia Detection from Chest X-Ray Images: CNNs vs. Capsule Networks
Deep Learning-Based Brain Tumor Classification from Medical Images
Data Science & Machine Learning
Customer Churn Prediction and Behavioral Analytics Using Machine Learning
Titanic Survival Prediction Using Machine Learning
California Housing Price Prediction Using Machine Learning
Medical Insurance Cost Prediction Using Machine Learning
NLP & Generative AI
AI-Powered Recruitment Assistant Using NLP, Integrated into the DeepNova School
Management ERP
RAG-Based Intelligent Chatbot for DeepNova School
Sentiment Analysis of Squid Game Reviews Using NLP
Spam Email Classification Using Machine Learning
AI & Cybersecurity
Phishing Email Detection Using NLP and Machine Learning
AI-Powered Network Intrusion Detection System
Graph Neural Networks
Travelling Salesman Problem Optimization Using Graph Attention Networks and REINFORCE
Semi-Supervised Node Classification on Cora: GCN vs. GATv2 vs. APPNP
Citation Network Node Classification Using Graph Neural Networks
Software Development Projects
AI-Integrated School Management ERP – DeepNova
Developed a full-stack ERP web application for managing students, teachers, academic activities, finance, HR, tasks, and user portals. Implemented REST APIs, role-based access control, CRUD operations, data management, and interconnected modules.
Technologies: React.js, Node.js, Express.js, REST API, SQL / MongoDB.
AI-Powered WhatsApp Lead Intelligence & Analytics System– DeepNova
Development of an intelligent platform integrating WhatsApp Cloud API, webhooks, PostgreSQL, and OpenAI API to automatically collect, structure, and analyze customer conversations and identify high-potential leads.
Technologies : Node.js • Express.js/NestJS • WhatsApp Cloud API • Webhooks • PostgreSQL • OpenAI API
Languages
Arabic: Native
French: Upper-Intermediate (B2)
English: Upper-Intermediate (B2)
