Fatima-Ezzahra Darfaoui

Junior AI developer @ Syntax

About

I’m a Data Science & AI Engineering student at ENSAM Rabat with a deep passion for Artificial Intelligence, Machine Learning, and Generative AI. I enjoy building intelligent systems that solve real-world problems from data analysis and predictive modeling to deep learning architectures, LLM fine-tuning, and computer vision applications. My experience spans across the full data and AI workflow, including: Deep Learning & Computer Vision : CNNs, image classification, object detection Generative AI & LLMs : Working with models like GPT, LLaMA, and diffusion models Data Science & Analytics : Data cleaning, feature engineering, statistical analysis, and visualization Data Engineering Tasks : ETL pipelines, database management, data preprocessing AI Application Development : Deploying ML models into real-world usable systems I’m actively seeking an internship in Data Science, Machine Learning, or AI Engineering, where I can apply my skills, grow with a great team, and contribute to impactful projects. Let’s connect and build the future of AI together!

Country

Morocco

City

Rabat

Industry

Computer Software

Skill

XML, Representational State Transfer (REST), OAuth, STEM (disciplines), Gestion de programmes, Formation, Mentorat, Informatique décisionnelle, Interprétation des données, Business, Intégration, HTML, Modélisation des données, Communication orale, Cloud Computing, Extract, Transform, Load (ETL), Résolution de problèmes, Compétences analytiques, Présentations, Anglais

Experience

Junior AI developer

Syntax

2026-2 - Present · 8 mos

Casablanca-Settat, Maroc

Machine learning engineering intern

SIGMATOP

2025-6 - 2025-8 · 3 mos

Témara

Cadastech - Automated Cadastral Georeferencing System : Full-Stack Geospatial Web Application Developed a web application that automates extraction and georeferencing of cadastral parcels from scanned maps, transforming legacy land registry documents into GIS-ready geospatial data. Backend Development: Built RESTful API using Flask with SQL database for storing parcel data and processing metadata Integrated custom Python scripts for automated georeferencing and parcel extraction workflows Implemented EasyOCR pipeline to extract coordinate grids from scanned maps with rotated text detection Engineered OpenCV algorithms for image preprocessing and boundary detection Created Rasterio-based georeferencing engine generating GeoTIFF outputs with proper CRS (EPSG standards) Built parcel extraction using Shapely for geometric operations and GeoJSON export Frontend Development: Designed responsive UI with HTML5, CSS3, JavaScript Created interactive map preview with real-time processing status Implemented drag-and-drop file upload interface Technical Highlights: Multi-stage image processing (CLAHE enhancement, adaptive thresholding, morphological operations) Automated Ground Control Point (GCP) generation with confidence-based selection Intelligent coordinate classification using aspect ratio and spatial proximity analysis Advanced parcel filtering using containment analysis and area-based heuristics Technologies: Python, Flask, SQL, OpenCV, EasyOCR, Rasterio, Shapely, NumPy, HTML5, CSS3, JavaScript, GeoJSON, PyMuPDF Impact: Reduced manual georeferencing time from hours to minutes per plan, enabling rapid digitization of land registry archives.

Learning Experience Architect

Fatal Error Club ENSAMR

2024-11 - 2025-7 · 9 mos

Rabat, Rabat-Salé-Kénitra, Maroc

As a Learning Architect at Fatal Error Club, I designed and structured practical machine learning courses tailored for beginners and intermediate learners. I developed hands-on projects, guided students through core ML concepts, and delivered engaging sessions to help them confidently apply AI techniques in real-world scenarios.

Machine Learning Engineering Intern

Leyton

2024-7 - 2024-8 · 2 mos

Casablanca-Settat, Maroc

Software engineering Intern at Leyton During my internship with the ERP/CRM team at Leyton, I had the opportunity to work on impactful projects that deepened my understanding of enterprise systems and advanced technologies. Key contributions and learnings: ERP System Development: Collaborated on an internal ERP system, gaining hands-on experience with Odoo, one of the leading open-source ERP platforms. Agile Methodology: Worked within a Scrum Agile framework, enhancing my ability to adapt and contribute effectively in iterative development cycles. Customer Segmentation Project: Applied machine learning models to classify and segment customers, leveraging data-driven insights for personalized business strategies. This experience sharpened my technical, analytical, and collaborative skills, providing me with valuable exposure to the intersection of technology and business solutions.