Summary
Kevin Horecka is a Distinguished Architect in Machine Learning & Data Science at Walmart Global Tech with 13 years of experience blending neuroscience, electrical engineering, and computer science to solve large-scale industrial problems. He moved from academic computational neuroscience—where he modeled human memory and ran VR, neuroimaging, and electrophysiological studies during a PhD at UIUC—into production ML roles, advancing from senior engineer to principal and now distinguished architect. Kevin designs ML systems informed by biological computation principles, bringing a rare depth in hippocampal and relational memory models to data-driven product work. Based in Austin, he has led cross-functional teams at Walmart to operationalize research-grade algorithms into resilient, scalable services. His background in embedded and vision systems at National Instruments and image processing at Wolfram gives him practical low-level engineering chops beyond typical ML architects. He is especially effective at translating neuroscientific intuition into measurable business impact across large, complex data ecosystems.
13 years of coding experience
9 years of employment as a software developer
Bachelor of Computer Science, Computer Science, Bachelor of Computer Science, Computer Science at Texas Tech University
University of Illinois Urbana-Champaign
English