Rustem Feyzkhanov is a Machine Learning Engineer at Instrumental, where he develops machine learning models for the manufacturing sector. Before joining Instrumental, he worked at Astro Digital creating machine learning models for satellite imagery. Rustem has a passion for utilizing cloud infrastructure in AI/ML applications and wrote the book Hands-On Serverless Deep Learning with TensorFlow and AWS Lambda (2019). He has spoken at various conferences and meetups, including the O’Reilly Strata Data & AI Conference and AI Dev World, on employing cloud-native AWS (Amazon Web Services) infrastructure for deep learning training and inference pipelines. In addition, Rustem has created several popular open-source repositories on GitHub, focusing on AWS infrastructure and its application in deep learning. His current interests involve using serverless technology for AI/ML applications and addressing the challenges of building production ML workflows with AWS infrastructure.