Houssine Idoudi

Houssine Idoudi is a data scientist with extensive experience in computer vision and deep learning technologies. Currently working at DEVISUBOX since July 2021, Houssine specializes in detection, depth estimation, and training models using YOLO, mmdetection, and Detectron2. Previous experience includes a role at DODIN CAMPENON BERNARD, where Houssine developed instance segmentation models, industrialized projects, and created visual dashboards using NoSQL databases. Houssine's early career includes research at Cesi's LINACT laboratory and an internship at BMI. Academic qualifications consist of an engineering degree in Mathematics and Computer Science from ENSTA Paris and Ecole Nationale d'Ingénieurs de Tunis. Skills encompass visualisation tools like Plotly and PowerBI, DevOps practices with Python and Git, and deployment using Docker.