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Competences
Experience
Passenger Posture and Seatbelt Monitoring (ADAS) Project
Academic Project
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Developed a real‑time driver monitoring system that detects passenger posture and seatbelt usage using Python, OpenCV and MediaPipe Pose. Implemented multithreading to handle video streams and generate visual/audio alerts for NORMAL, WARNING and DANGER states. Integrated airbag deactivation logic based on detection results. Demonstrated the solution on a prototype vehicle platform.
Pneumonia Detection and Segmentation on Chest X‑rays
Academic Project
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Built a deep‑learning pipeline in Python with PyTorch to classify and segment pneumonia in chest X‑ray images. Utilized transfer learning with a pre‑trained ResNet‑18 encoder and a U‑Net decoder, achieving high IoU and Dice scores. Employed OpenCV, scikit‑learn and pydicom for preprocessing and evaluation metrics.
Royal Siege: NoSQL Learning Serious Game
Academic Project
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Created an educational serious‑game to teach NoSQL concepts using Node.js/Express backend and MongoDB for persistence. Designed interactive activities, an experience‑point system and PDF certificate generation. Front‑end built with JavaScript, HTML and CSS.
IoTKappaStream: Real‑time IoT Anomaly Detection
Academic Project
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Implemented a real‑time anomaly detection pipeline for IoT data using Kafka, Spark Streaming and Scala, with Isolation Forest models in Python. Deployed the solution in Docker containers, persisting results in PostgreSQL and MinIO, and visualized metrics with Grafana. Achieved 98.4 % F1‑Score with latency under 302 ms.
Formation
Master’s in Artificial Intelligence and Emerging Technologies (FSAN) – Bachelor’s in Mathematical Sciences and Computer Science (FSM) – Baccalaureate in Physical Sciences (Lycée Lalla Amina)
Langues
Francais
fluent
English
intermediate
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