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.
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