Fatima Zahrae Aithamou Aadi

Led development of a fetal ultrasound solution, including weight and age detection, using advanced deep learning models. Specified and implemented key features to enhance performance. Established an evaluation pipeline for generating KPIs, communicated insights, and contributed to comprehensive solution documentation.

Construct systems that collect, manage, and convert unprocessed data into usable information, as well as preprocess, index, and store this data from various Data Sources. Moreover, the creation of microservices, data pipelines, and API interfaces. Providing daily statistical reports and alerts to subscribers of Imperium

Contributed to the team as a Computer Vision Engineer, focusing on delivering efficient and effective solutions for complex data-related challenges. Worked collaboratively with clients and team members to understand project requirements and ensure successful outcomes.

Current Research Focus : Working on an obstacle detection model for environment analysis and scene understanding.

Final year project: Automatic recognition system of Arabic handwritten characters (Matlab)