Connor Stout

Connor Stout is an experienced machine learning engineer with a background in software engineering and finance. Stout has worked at Capital One as a Senior Machine Learning Engineer and has been employed as a Machine Learning Engineer at Meta, focusing on neural interfaces. Prior experience includes software engineering roles at Lockheed Martin, where responsibilities included AI research and backend development, and a position as a Finance Intern at Legend Financial Advisors, Inc. Stout has also worked as a Summer Technology Analyst at BNY Mellon, developing an internal iOS application, and continued part-time as an iOS Developer, concentrating on hybrid mobile development. Educational credentials include a Bachelor's degree in Applied Mathematics with a minor in Computer Science from the University of Pittsburgh.