Sanae Dariouche

• Deployed a semi-supervised anomaly detection system for industrial quality control, with custom annotation tools and automation (Databricks).

• Predictive modeling (Prophet, LSTM) for predictive maintenance.

• Development of interactive dashboards (Dash, Plotly).

• Optimization of vision pipelines & feasibility studies.

• Close collaboration with business teams to define needs, automate data collection, and integrate AI solutions into production.

• Development of 3D anatomical inference methods from 2D images.

• Implementation of CNNs for medical image segmentation.

• Construction of statistical models of human anatomy from DXA images.

• 3D reconstruction by deep learning from RGB images.

• Management of datasets and GANs for 3D modeling.