Ahmed Tarek

Ahmed Tarek is a Machine Learning Engineer at Rology since May 2020, specializing in developing computer vision models for medical applications. Notable projects include creating a model for COVID-19 detection from CT scans, which improved diagnosis efficiency by 40%, and implementing advanced algorithms to determine the probability of reviewing medical reports. Ahmed has also developed a transfer learning model for heart segmentation and led a team to establish an image processing pipeline for coronary artery calcium scoring, enhancing cardiac risk assessment. Prior to this role, Ahmed served as a Full Stack Engineer at Rology, developing the company platform using Java Play and other technologies, and also worked as a Computer Vision - Machine Learning Trainee, where Ahmed focused on enhancing medical image features and building algorithms for detecting various human illnesses from X-rays.