Engineering Student in Industrial and Logistics
Passionate about Industry 4.0 technologies, computer vision, predictive maintenance, artificial intelligence, IIoT and the automation of industrial systems. Driven by innovation and the digitalization of processes.
Bridging Engineering Excellence with Digital Innovation
As an Engineering student specializing in Industrial and Logistics, I'm deeply committed to transforming traditional industrial processes through cutting-edge technology. My passion lies at the intersection of Industry 4.0, artificial intelligence, and industrial automation.
With hands-on experience in industrial IoT systems, computer vision, and predictive maintenance, I bring a unique blend of theoretical knowledge and practical implementation skills. I thrive on solving complex industrial challenges with innovative digital solutions.
Major Projects Completed
Professional Internships
Active Club Memberships
Technical Skills
Real-world industrial implementations
End-of-Year Project Internship (PFA): Developed shelving automation using an optimized placement algorithm with a centralized database for storage and preparation processes. Implemented a comprehensive dashboard for real-time inventory monitoring, alerts (quarantine, best before end), and KPIs. Successfully deployed the solution as a desktop application (.exe).
Application Internship: Conducted comprehensive study and selection of sensors for real-time monitoring. Performed TIA-PORTAL programming and embedded systems development (S7-1200 API). Developed HMI (Human Machine Interface) interfaces for industrial process monitoring with real-time tracking of cooking conditions and human interventions.
Innovative solutions at the cutting edge of technology
Innovation Project focused on improving maintenance training using cutting-edge augmented reality (AR) and virtual reality (VR) technologies, enhancing hands-on learning experiences.
Academic project implementing intelligent quality and maintenance management for FDM 3D printers using advanced computer vision techniques for real-time defect detection.
Academic project developing a predictive maintenance system for industrial machine bearings using machine learning algorithms and IIoT sensors for vibration analysis.
Personal project creating a comprehensive task management web application with Python backend and MySQL database, featuring user authentication and real-time updates.
End of study project (PFE-License): Created an IoT-based weather station using ESP8266 microcontroller with color TFT screen, integrating real-time weather API data.
Academic excellence in engineering
École Normale Supérieure de l'Enseignement Technique - Mohammedia
Electronics and Telecommunications Engineering - Faculté des Sciences et Techniques, Beni Mellal
Electrical Engineering and Mechanical Engineering (GE GM) - Faculté des Sciences et Techniques, Beni Mellal
Comprehensive technical expertise
Mother Tongue
Professional
Professional
Active Member
Multimedia Manager
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