Summary
Marshall Sutton is a software engineer with 11 years of experience specializing in scientific data pipelines and processing at NASA Goddard Space Flight Center. He designs, implements, and tests level-2 data pipelines for space instruments, translates scientific algorithms between languages, and creates visualization and GUI tools to support mission operations. With an MS in Applied Mathematics and a BS in Mathematics, he blends strong analytical foundations with practical software engineering on Linux superclusters. Based in Alexandria, VA, he excels at coordinating across science teams, data repositories, and instrument processors to turn complex science requirements into reliable, documented systems. A less obvious strength is his hands-on work converting C++ unit tests to Python and applying feature-detection techniques to lunar imagery, demonstrating both code fluency and scientific image analysis.
11 years of coding experience
Master of Science, Applied Mathematics, Master of Science, Applied Mathematics at University of Washington
Math, Math at Budapest semesters in mathematics
BS, Mathematics, BS, Mathematics at Washington and Lee University
English, fortran