Summary
Brent Schneeman is a seasoned AI and machine learning executive with 13+ years of experience building and scaling cross-functional teams, products, and platforms that put algorithmic models into real-time, customer-facing systems. He blends deep software engineering roots (dating back to Motorola and Visa) with hands-on ML, NLP, and computer vision practice to rapidly test hypotheses and deliver production APIs that expose AI to stakeholders. Brent has repeatedly taken organizations from zero to durable teams across data science, engineering, and analytics, and has led implementations that turn data into new revenue-driving products. He is active in the local ML community and has advised the UT-Austin McCombs MS Business Analytics program since 2015, signaling a commitment to industry–academic bridge-building. Based in Austin, he brings a rare combination of enterprise-scale engineering experience and product-focused ML leadership, often privileging rapid learning cycles over theoretical perfection. An alumnus of USC (EE) with additional study in complex systems, he’s comfortable navigating both low-level systems detail and strategic AI roadmaps.
13 years of coding experience
33 years of employment as a software developer
Bachelor of Science Electrical Engineering, Bachelor of Science Electrical Engineering at University of Southern California
Bachelor of Arts Mathematics, Bachelor of Arts Mathematics at Carroll University
Complex Systems, Complex Systems at Santa Fe Institute Complex Systems Summer School