Nadia Sbaa

-Led development of deep learning models for disease identification from medical images in PyTorch. Specialized in image classification and advanced segmentation techniques. -Optimized model size by 70%. -Established a robust MLOps pipeline with tools like mlflow, GitLab CI/CD, DVC, and CML for efficient training workflows.

-Developed and deployed a crucial information extraction system for contracts utilizing Flair, spaCy and Doccano frameworks for annotation. -Leveraged GCP as the Cloud Server Provider for seamless scalability and reliability. -Engineered a comprehensive Data Warehouse for contracts using TypeScript and Firebase, ensuring efficient data management and accessibility.

-Developed and implemented a custom object detection algorithm for identifying dental cysts, tumors, decays, and dentures using a customized YOLOv5 framework with PyTorch. -Improved and optimized developed models using TensorFlow and Keras. -Contributed to tumor segmentation employing Unet and Mask RCNN techniques. -Spearheaded the creation of Perfect Smile Designs through Face Landmarks Detection -Developed and deployed multiple REST APIs using Django, Gitlab CI-CD