As an experienced computer scientist, I combine academic and industry expertise across advanced computing disciplines. My core competencies include Python, MATLAB, deep learning, medical imaging analysis, and data security, supported by a strong grasp of relational and distributed database systems. I have specialised knowledge in medical image segmentation, large language and transfer learning models, and healthcare-focused image and video processing using bespoke deep learning architectures. My practical application of explainable AI (XAI) complements my research focus on computer vision and machine learning for medical imaging. I have made notable contributions to this field through high-impact publications on character recognition systems, Siamese networks, imaging analysis, transfer learning, and generative modelling using Conditional Variational Autoencoders.