With over 5 years of experience in the field of Artificial Intelligence, I specialize in developing innovative AI-driven solutions with a focus on healthcare applications. My expertise spans Machine Learning, Deep Learning, Generative AI, and Large Language Models (LLMs). I am committed to leveraging AI to address some of the most pressing challenges in the healthcare industry, including medical diagnostics, fraud detection, and process automation. Throughout my career, I have developed a strong foundation in deploying scalable AI systems, optimizing models for real-world impact, and continuously innovating in healthcare technology. Currently, I am working as a Senior Data Scientist and Lead at Seethrutec, where I lead the development of AI-driven products in the healthcare sector. My key responsibilities include creating advanced systems for medical record management, AI-powered cardiac stenosis detection, and X-ray analysis for fraud prevention in healthcare billing. Additionally, I am actively involved in designing AI solutions for healthcare document processing, including AI-generated text detection using LLMs, and building virtual assistant applications to automate routine tasks and enhance user experiences. In my previous roles, I conducted groundbreaking research in deep learning and medical image classification, resulting in two international publications in the healthcare domain. I developed predictive models for heart disease and fatty liver disease using advanced machine learning techniques, achieving high accuracy and significantly improving diagnostic reliability. My work on hyperspectral image segmentation and disease prognosis models has provided valuable insights into leveraging AI to predict and detect health conditions earlier, enabling better patient care outcomes.
