Hi, I'm Aaron Moseley

Aaron Moseley

Aaron Moseley

I'm a machine learning engineer at Carlson Software and recently graduated summa cum laude from the University of Kentucky. While I was in school, I was a member of the Lewis Honors College and I double-majored in Computer Science and Mathematics. My work at Carlson focuses on self-supervised learning in computer vision tasks like image segmentation and boundary detection. These techniques are applied to aerial images for use by civil engineers in our Carlson IntelliCAD application. In addition to designing and training deep learning models, I've created multiple applications that enable my team to generate and 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 2023 Commonwealth Computational Summit. I was also a research assistant in the field of nuclear physics where I built a high-speed data acquisition system that was deployed in an experiment on a particle accelerator. This experiment (NOPTREX) was performed to collect information about gamma radiation emissions from decaying neutrons.

Over the summers of 2022 and 2023, I interned at Lockheed Martin and Infineon Technologies. Through these internships, I gained experience building data analysis and report automation tools as well as developing physical verification rules for transistor-level devices. I also spent four semesters as a teaching assistant and grader at the University of Kentucky where I graded assignments and instructed labs on topics ranging from UI development to intermediate C++ and Linux.

Skills

  • C++ / C
  • C# / .NET
  • Python / PyTorch
  • Java
  • PyQt/Qt
  • SQL
  • Git / Github
  • Unity
  • Linux
  • LaTeX

Recent News

  • May 2024

    I have graduated summa cum laude from the Lewis Honors College at the University of Kentucky

  • March 2024

    I have received the University of Kentucky Department of Computer Science's award for Outstanding Academic Achievement

  • February 2024

    My paper, PolyCL: Context-Aware Contrastive Learning for Image Segmentation has been accepted as a full paper at ISBI 2024

  • September 2023

    I have been accepted as a University of Kentucky College of Engineering Undergraduate Research Fellow for my work in medical image segmentation

  • April 2023

    I have presented my project, Developing a Readout Software for the NOPTREX Experiment, as a poster at NCUR 2023 and APS 2023

  • February 2023

    I helped in the successful testing of a readout software and firmware I developed for the NOPTREX experiment on a particle accelerator at the Japan Proton Accelerator Research Complex

  • April 2022

    Phantom Mansion, a project created by myself and Thomas Noll has won 1st Place Overall at the University of Kentucky's CatHacks Hackathon

Professional Experience

Machine Learning Engineer

Carlson Software
August 2024 - Current
May 2024 - August 2024

Machine Learning Engineer Intern

Carlson Software

Medical Imaging/Machine Learning Research Assistant

University of Kentucky
January 2023 - January 2024
August 2022 - May 2024

Nuclear Physics Research Assistant

University of Kentucky

Computer Engineering Intern

Infineon Technologies
May 2023 - August 2023
May 2022 - August 2022

Software Engineering Intern

Lockheed Martin

Projects

Deep State-Value Estimation
Deep State-Value Estimation for Long-Term Planning
PolyCL
PolyCL: Contrastive Learning Framework
CMU-Net
CMU-Net: Multitasking for Image Segmentation
Project 1
Shoulder-Mounted Space Program
Project 1
Hyperbolic Relevance Estimation
Project 1
NOPTREX Readout Software/Firmware
Project 1
Hydraulic Erosion Simulation
Project 1
Phantom Mansion - MLH 1st Overall
Project 1
Platformer