Summary
Scott Bennett is a seasoned technology executive with over three decades of experience leading rapid application development, R&D and product initiatives that moved novel ideas into operational deployments for government and industry. As a hands-on VP-level leader at SRA International, he built agile DevOps teams that deliver full applications in weeks, led cyber security appliance development, and pioneered geospatial, mobile and big-data solutions deployed in tactical and commercial environments. His background spans machine learning, data mining, NLP and visualization—he led NASDAQ’s first data-mining anti-fraud system and multiple DARPA geospatial projects—showing a rare ability to marry research-grade innovation with production-grade engineering. Scott routinely vets technology for acquisitions, spins out ventures, and secures customer-funded development, demonstrating both strategic foresight and practical productization skills. Based in Oakton, VA, he combines deep academic training (MS/PhD work at UIUC) with decades of applied systems building, and is notable for turning experimental prototypes into revenue-generating offerings and licensed products.
11 years of coding experience
25 years of employment as a software developer
BS, Electrical Engineering, BS, Electrical Engineering at Northwestern University
University of Illinois Urbana-Champaign