Salah Abd Al Ati

completed a 16-week immersive Data Science program covering data preprocessing, visualization, machine learning, and deep learning. Built end-to-end predictive models using Python, pandas, scikit-learn, Keras, and PyTorch.

Responsible for developing and maintaining cross-platform mobile applications using Flutter and Clean Architecture. Focus on REST API integration, state management (BLoC, GetX, Provider), and Firebase services. Experienced in working with backend-integrated systems, applying best practices in UI/UX design, and optimizing performance for scalable production apps.