Gustav did his Ph.D. in Computer Science at the University of Chicago, focusing on Computer Vision and Deep Learning. He has spent half of his career developing and shipping ML applications (e.g., camera algorithms used in trillions of photos every year), experiencing first-hand the pain points of on-device deployment. The other half has been spent developing ML infrastructure to mitigate those pain points and empower developers.