I’m a Data Scientist with 9+ years of experience in developing cutting-edge AI solutions, with a strong focus on healthcare. Currently, I work at Moorfields Eye Hospital in London, where I lead projects involving deep learning, medical imaging, and generative AI for disease progression and diagnostics. My contributions include: AI-driven geographic atrophy detection (published in JAMA Ophthalmology) Early lung cancer diagnosis models, which led to a U.S. patent application and Forbes recognition Deploying mobile X-ray based tuberculosis detection tools during the COVID-19 crisis (recognized by the Melinda Gates Foundation) With hands-on experience in computer vision, NLP, and large-scale clinical data integration, I bring technical expertise across PyTorch, TensorFlow, AWS, Docker, and DICOM/PACS workflows. I’ve successfully mentored teams, collaborated with UK institutions, and contributed to open-source healthcare AI initiatives. While my core focus is healthcare, I’ve built scalable AI systems across industries. I secured my UK Global Talent Visa (Tech Nation endorsement) based on these contributions and now offer guidance to others exploring this route — especially tech professionals, engineers, and researchers navigating the endorsement process. Whether you're just starting out or refining your documents, I'm happy to share practical, experience-based advice to help you move forward confidently.