NextGen Federal Systems
Brianna Maze is a Principal Machine Learning Engineer at NextGen Federal Systems, where expertise in machine learning and computer vision is applied to various projects since June 2019. Prior experience includes roles as a Senior Machine Learning and Computer Vision Research Engineer at the same company and as a Machine Learning and Computer Vision Researcher at Noblis, where responsibilities encompassed curating the IJB-C dataset and utilizing GANs for data synthesis. Academic qualifications include a PhD in Electrical Engineering from West Virginia University, alongside a Master's and Bachelor's in Electrical and Computer Engineering, respectively. Brianna also has a background in wireless communications and server maintenance from positions held at West Virginia University, FirstEnergy, and the Naval Research Laboratory.
NextGen Federal Systems
NextGen Federal Systems designs, develops, implements, and manages information technology and software solutions.