Engineering the Future with
AI, Systems & Code.
I'm Youness Ezouagh — Lead Systems & AI Engineer, Full-Stack & IoT Architect. Specializing in bridging deep learning, enterprise mobile/web architectures, and intelligent hardware.
Architecting Hardware-to-Cloud Solutions
From microcontrollers and computer vision neural nets to cloud-scale enterprise fleet management systems.
Engineering with Precision & Vision
I hold a State Engineering Degree in Embedded Systems & Information Technology from the National School of Applied Sciences (ENSA). Over the past 7+ years, I have engineered mission-critical platforms connecting real-world sensors and AI models to robust cloud systems.
Whether architecting high-concurrency GPS fleet telematics at SendaTrack, designing interactive AI-driven reverse vending recycling machines at IOSEN-TECH, or training real-time edge computer vision models, I build systems that solve tangible problems.
Full-Lifecycle Product Delivery
From initial circuit PCB schematic and firmware to user-facing cross-platform mobile apps and cloud backends.
Applied Machine Learning
Computer vision algorithms, object detection, edge inferencing, and automated sensor data analytics.
Technical Skills & Tech Stack
A deep multi-disciplinary arsenal spanning machine learning, modern web/mobile engineering, and hardware.
Professional Experience
Key engineering leadership roles driving technological transformation.
Project Manager & Lead Systems Engineer
Head of software and hardware engineering for Morocco's premier GPS fleet telematics provider.
- Architected full-stack enterprise Transport Management System (TMS) and GPS Fleet Tracking platform using Angular and Laravel.
- Engineered cross-platform mobile apps for Android & iOS in Flutter, supporting live telematics and geofencing.
- Diagnosed hardware-level device integration issues, firmware calibrations, and managed multi-server cloud deployment.
Embedded Systems & AI Project Manager
Pioneered the development of smart automated Reverse Vending Machines (RVM) for sustainable recycling.
- Integrated high-speed Computer Vision (Python, OpenCV, CNNs) to automatically recognize and classify plastic bottles, cans, and cups.
- Built embedded touchscreen interface and automated motorized carousel sorting system.
- Developed accompanying mobile applications (Flutter) and administrative cloud platform (Laravel).
State Engineering Degree in Embedded Systems & IT
Rigorous 5-year engineering curriculum covering digital design (FPGA, VHDL), microcontrollers, computer architecture, real-time operating systems, artificial intelligence, and software engineering.
Featured Works & Innovations
Selected projects across AI, computer vision, web applications, mobile, and hardware prototyping.
SendaTrack Fleet Management
Real-time GPS telematics and transport management system supporting route optimization, fuel consumption analytics, and driver logs.
SendaTrack Mobile Telematics
Cross-platform mobile application available on Google Play & App Store for fleet tracking, speed violation alerts, and geofencing.
AI Reverse Vending Machine
Smart recycling station using computer vision to classify recyclable containers, trigger motorized compactor sorting, and grant digital rewards.
Edge Face Mask Detection
Real-time edge computer vision model using MobileNetV2 and OpenCV detecting facial masks with ~98% test accuracy for public safety.
3-Axis Precision CNC Machine
Custom-built CNC machine driven by stepper motors, Arduino microcontrollers, and custom G-Code interpreter for precision micro-milling.
Global COVID-19 Tracker
Automated scraping and statistical dashboard with interactive global heatmaps, time-series trends, and country-level reports.
Certifications & Specializations
Official credentials and accredited coursework across Machine Learning, Autonomous Perception, Cloud Architecture, and Enterprise Databases.
Visual Perception for Self-Driving Cars
Advanced 3D environment perception, LiDAR and camera sensor fusion, semantic segmentation, and object tracking for self-driving vehicles.
AWS Machine Learning
Production ML pipeline engineering, SageMaker model training & deployment, hyperparameter optimization, and cloud vision models.
Computer Vision [Advanced]
Convolutional neural networks (CNNs), feature map extraction, transfer learning, data augmentation, and modern computer vision architectures.
Python Programming
Advanced Python engineering, data structures, algorithm optimization, numerical manipulation with NumPy & Pandas, and clean OOP design.
Computer Vision Basics
Foundational image processing techniques: spatial filtering, 2D convolution, edge detection, Hough transform, and image geometry.
Data Science Math Skills
Core mathematical foundations underpinning data science, machine learning, and statistical algorithms: linear algebra, calculus, and probability theory.
Programming with MATLAB
Matrix computations, advanced scientific data visualization, algorithmic problem solving, and digital signal modeling in MATLAB.
Mindshift: Break Through Obstacles
Cognitive learning strategies, neuroplasticity, career adaptability, deep learning skills, and overcoming complex intellectual challenges.
Querying Microsoft SQL Server
Official Microsoft certification validating mastery in relational database architecture, complex T-SQL queries, indexing, and data integrity.
Download Official Resume
Choose your preferred format for HR screening, technical review, or full project breakdown.
Let's Build Something Exceptional
Have an upcoming project, engineering opportunity, or technical challenge? Send me a message directly.
Direct Channels
Feel free to reach out via email or connect with me on professional networks.