Aaron Moseley

I'm a machine learning engineer at Carlson Software and graduated summa cum laude from the University of Kentucky's Lewis Honors College in May 2024 with a Bachelor of Science in Computer Science and Mathematics. My work focuses on self-supervised learning in computer vision tasks like image segmentation and boundary detection with aerial images for use in CAD applications. In addition to designing and training deep learning models, I've created multiple applications that enable my team to label high-quality ground-truth data.

I've previously been a research assistant in medical imaging at the University of Kentucky, finding novel training methods for image segmentation models. In this capacity, I wrote a paper that was published to ISBI 2024 and presented a poster at UK's Commonwealth Computational Summit 2023. I was also a research assistant in the field of nuclear physics where I built a high-speed data acquisition system used in a particle accelerator to collect data about gamma radiation emissions from decaying neutrons.

Over the summers of 2022 and 2023, I gained experience building data analysis and report automation tools as an intern at Lockheed Martin and updating the physical verification system for new hardware devices at Infineon Technologies. I also spent four semesters as a teaching assistant and grader at the University of Kentucky, instructing multiple lab sections on topics including UI development and intermediate C++ and Linux.