Paul Mcquesten is a retired computer scientist with a PhD from UT Austin and roughly six years of recent professional experience focused on data mining, recommendation engines, datalog logic in databases, neuroevolution, and ontology work. His career blends academic roles (assistant professor) with senior practitioner positions—Senior Modeler and Senior Solutions Architect—across analytics and technology firms, plus long experience in programming dating back to early software companies and the Air Force. He has a track record of turning formal logic and ontology ideas into practical models and systems for recommendations and analytical workflows. Based in Georgetown, Texas, he continues freelance work, suggesting an interest in selective consulting and intellectual projects rather than full-time industry roles. An underappreciated thread in his background is sustained engagement with both theoretical research and hands-on system building, linking academic depth to applied solutions.
6 years of coding experience
20 years of employment as a software developer
PhD, Computer Science, PhD, Computer Science at The University of Texas at Austin
B.S., Computer Science, B.S., Computer Science at St.Edward's University
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