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Competences
Experience
AI Engineering Intern
Salma AI
2026-06 -
Contributed to real‑world computer‑vision projects covering data collection, annotation, dataset preparation, model training and fine‑tuning. Developed a YOLO‑based auto‑labeling workflow on a 10,500‑image dataset and built a monitoring pipeline for employee time in a smoking area using face and body detection with multi‑object tracking. Implemented an end‑to‑end shoplifting detection system on 3,200+ images across two classes. Assisted in building an industrial safety equipment dataset, supporting the collection of approximately 2 million images for future model development.
AI Engineering Intern
GCE Company
2026-01 - 2026-03
Designed an AI system using street‑camera footage to detect illegal vehicle trash dumping and automatically log violations. Fine‑tuned YOLOv8n for license‑plate detection, achieving 99.5 % mAP50 across four scenarios. Managed and annotated roughly 9,300 images via a custom auto‑labeling workflow with manual verification. Created a multi‑stage training pipeline and integrated BoT‑SORT for multi‑object vehicle tracking, as well as Paddle‑OCR to recognize Arabic, English and mixed‑format license plates.
Formation
Comprehensive Diploma – AI & Robotics Engineering
Derniere mise a jour: il y a 4 jours