About

Keagan Long is a highly skilled Software Engineer with over 6 years of relevant experience in the industry. Currently, he works as a Software Engineer - Fraud Intelligence at Stripe, where he develops models and systems to combat fraud using machine learning. Keagan is a key member of one of Stripe's machine learning teams, where he applies his expertise in software engineering and machine learning to develop effective solutions to complex problems. Prior to joining Stripe, Keagan worked at Piazza Technologies Inc. as a Software Engineer, where he scaled backend systems through redesigns and migrations, led security and testing, and implemented new products and features on web and mobile. He also worked as an Intern - Machine Learning/Algorithms Team at Jawbone, where he created the company's Automatic Sleep Detection model, delivering one of the most asked-for features. Keagan holds a Minor in Computing & Business from Denning Technology & Management Program, a Computer Science degree from Georgia Institute of Technology, and completed his Center for Advanced Studies in Science, Math, and Technology from Joseph Wheeler High School. Keagan's TechStack includes Software Engineering, Machine Learning, Testing, Mobile, Backend, and Web development. He has a proven track record of delivering high-quality solutions, and his expertise in software engineering and machine learning has made him a valuable asset to any team he has worked with. Keagan is a highly motivated individual who is always looking for new challenges and opportunities to learn and grow.