• Engineered an end-to-end Explainable

• Engineered an end-to-end Explainable AI (XAI) application for retinal scan classification utilizing transfer learning on a fine-tuned ResNet50 architecture. • Implemented Score-CAM techniques to generate visual heatmaps, ensuring AI diagnostic predictions were interpretable and transparent for medical use cases. • Developed a server using Python and Flask to serve machine learning inference, supported by a PostgreSQL database for reliable data management. • Built a responsive, type-safe user interface utilizing React, TypeScript, and React Query for highly efficient server-state management