About

Diego Ardila is an accomplished Machine Learning and Software Engineer with a passion for developing cutting-edge solutions that solve complex problems. Currently, he works as a Machine Learning and Software Engineer for Nucleus at Scale AI, where he leverages his expertise to develop innovative solutions for clients. With almost 8 years of relevant experience, Diego has honed his skills in software engineering, machine learning, artificial intelligence, deep learning, computer vision, and mobile development. Diego's career began as a Software Development Contractor at Common Sensing, where he wrote most of the first version of the iOS app, coordinating with another contractor. He then went on to work as a Senior Deep Learning Scientist at Caption Health, where he developed deep learning models for medical imaging. Through his work, Diego has demonstrated his ability to work collaboratively with cross-functional teams to deliver high-quality solutions. Diego's education background is equally impressive, having earned a Bachelor of Science in Biomedical Engineering and Mathematics from The Johns Hopkins University and a Master's degree in Computer Science from the Massachusetts Institute of Technology. These degrees have provided him with a solid foundation in both engineering and computer science, which he has used to excel in his career. Diego's technical expertise is vast, ranging from software engineering to machine learning and artificial intelligence. His proficiency in computer vision and mobile development has enabled him to develop innovative solutions for clients across a range of industries. Diego is a highly motivated and results-driven individual who is passionate about using his skills to develop solutions that make a difference. With his experience and skills, he is a valuable asset to any organization.