MEET THE TEAM

Tom brings executive leadership experience from Amazon, AWS, and nearly a decade at GE Aviation where he managed $300M+ programs and drove $150M in productivity savings as a Master Black Belt in Lean Six Sigma. At Actual Reality, he sets the strategic vision and works directly with clients to identify how AI and automation can transform their operations—bridging the gap between physical processes and digital intelligence.

LeSean is a seasoned operations leader with deep experience in workforce development, staffing, and healthcare operations from his leadership roles at Medix and Prolink. At Actual Reality, he ensures our projects run smoothly from kickoff to deployment—managing timelines, coordinating resources, and keeping clients informed every step of the way so solutions are delivered on time and on budget.

Kurt spent nearly a decade at OnPoint Group rising from IT Analyst to Vice President of IT, where he led diverse teams, managed extensive budgets, and architected global AWS and Azure environments for a $1B organization. At Actual Reality, he builds the secure, scalable infrastructure that powers our platform—ensuring our clients' data is protected by enterprise-grade standards while remaining fast and accessible.

Justin brings over a decade of full-stack engineering experience from United Airlines, CreativeLive, and high-growth startups, where he architected scalable data platforms using AWS, Kafka, and Spark. At Actual Reality, he leads our engineering team and drives the technical execution of client projects—turning complex requirements into elegant, production-ready solutions that perform at scale.

Hossein holds a PhD in Mechanical Engineering from the University of Toledo, where his research applied machine learning to materials science and manufacturing. He previously spent four years as a Research Engineer at Italy's National Research Council, working with sensor arrays and data acquisition systems. At Actual Reality, he builds the predictive models and computer vision systems that turn raw sensor data into actionable insights—helping clients predict failures before they happen.