KARIM AMHAOU

Stagiaire Ingénieur IA & Computer Vision (PFE) @ AGRI 4.0

About

I am a Data Engineering and Artificial Intelligence enthusiast with a strong technical foundation in digital infrastructure and systems networking. Currently pursuing a Bachelor's degree in Big Data, I am deeply passionate about building intelligent models that solve real-world industry challenges.I specialize in applied Machine Learning and Computer Vision. Most recently, I have been engineering an AgriTech "Digital Twin" powered by YOLOv8 to automate the early detection of agricultural diseases. Through this, I’ve gained hands-on expertise in end-to-end model training, advanced data augmentation, and MLOps strategies to optimize performance under complex field conditions. My portfolio also includes developing ML/DL architectures for automated Fake News detection.🛠️ Tech Stack & Core Competencies:Programming & Databases: Python, NoSQL (MongoDB)AI & Analytics: Computer Vision, Object Detection, Deep Learning, Data MiningSystems: Cloud Computing, Cybersecurity, IT InfrastructureI thrive at the intersection of robust infrastructure and predictive algorithms. Always eager to tackle complex data problems, optimize performance, and connect with fellow tech innovators.

Country

City

Morocco

Industry

Information Technology & Services

Skill

Statistiques, Apprentissage supervisé, Algorithme des k-plus proches voisins (K-NN), Arbres décisionnels, Régression linéaire, Kaggle, CRISP-DM, Français, Anglais, Allemand, Business Model Canvas, Redis, Résolution de problèmes complexes, MLOps, YOLOv8, Data Annotation, Convolutional Neural Networks (CNN), Data Augmentation, YOLO (You Only Look Once), Machine Learning

Experience

Stagiaire Ingénieur IA & Computer Vision (PFE)

AGRI 4.0

2026-4 - Present · 6 mos

Агадир

Key Responsibilities: Digital Twin Prototyping: Designing a pilot system for real-time citrus tree monitoring. Object Detection (YOLOv8): Training and fine-tuning Deep Learning models to detect microscopic lesions and growth stages. Advanced Data Pipeline: Handling end-to-end data workflows, including custom annotation strategies and image enhancement techniques (CLAHE). Performance Engineering: Optimizing model metrics, specifically targeting high Recall for critical diseases using Focal Loss and surgical data augmentation. Deployment: Building an interactive analytical dashboard using Streamlit for field decision support.

IT Infrastructure & Security Intern (Multiple Internships)

PRIVATEC SOLUTIONS

2024-6 - Present · 2 yrs 4 mos

Агадир

• Assisted in deploying and maintaining IT infrastructures for corporate clients during multiple internship periods. • Managed Proxmox VE environments for scalable server solutions and configured network infrastructures with VLANs. • Installed and configured advanced physical security systems, including CCTV and alarm systems, ensuring client safety. • Provided on-site troubleshooting support to resolve hardware and connectivity issues effectively.

Education

Université Sultan Moulay Slimane

Big Data & AI

2025-11 - 2026-7 · 9 mos

Axes de formation principaux : Intelligence Artificielle & Deep Learning : Maîtrise des architectures de Vision par Ordinateur (YOLO) et des algorithmes de classification. Data Mining & Analytics : Analyse statistique avancée et extraction de connaissances à partir de jeux de données complexes. Cloud Computing & Infrastructures : Déploiement et gestion de solutions de stockage et de calcul distribué. Cybersécurité : Sécurisation des flux et des architectures de données massives. Projets et Réalisations : Agri 4.0 (PFE) : Conception d’un Jumeau Numérique pour les Domaines Agricoles Afourer, utilisant la Vision par Ordinateur (YOLOv8) pour automatiser la détection de la phénologie et des pathologies des agrumes. Détection de Fake News : Développement d'un système automatisé basé sur le Machine Learning et le Deep Learning pour l'analyse de l'intégrité de l'information.

OFPPT

2023 - 2025 · 2 yrs

Formation technique et pratique axée sur le déploiement, l'administration et la sécurisation des infrastructures informatiques. Compétences techniques acquises : • Administration des systèmes d'exploitation serveurs (Linux, Windows Server). • Configuration et gestion des équipements réseaux (Routage, Commutation, environnements Cisco). • Virtualisation et mise en place d'architectures IT robustes. • Troubleshooting et résolution d'incidents techniques complexes.