Ryan is Sr. Solutions Architect at NVIDIA supporting federal public sector customers and integrators. As part of the public sector team he helps educate customers and partners on how to leverage NVIDIA’s accelerated computing platform to solve problems at scales not previously possible. He has worked extensively on the development of large image datasets using human and augmented annotation, synthetic image generation, and robotic image capture. He has numerous patent submissions in the computer vision, image processing, and machine learning and shares his passion for the technology as an instructor for NVIDIA's Deep Learning Institute.