Brent Schneeman

Background

About Brent Schneeman

AI and machine learning executive building teams, products, processes, and strategies to deploy algorithmic models in real-time customer facing applications.Broad leadership experience across data scientists, software engineers, data analysts, and data engineers, having scaled-from-zero durable teams across disciplines and companies. Mixes software engineering, machine learning, and leadership skills to focus on rapid learning and hypothesis testing. Adept at combining engineering and science to help companies both unlock the value of data and create new products as they pivot to modern algorithmic-based business models. Led and implemented data solutions to provide APIs and platforms which expose ML and AI to stakeholders and bring strong hands-on experience in Artificial Intelligence, machine learning projects, natural language processing (NLP) and computer vision (CV).Active in local meetups and conferences, presenting on a variety of Data Science and Machine Learning topics, as well as being an Advisory Board Member for UT-Austin, McCombs School of Business Masters of Science Business Analytics program since 2015.