Michael Daconta is an AI consultant and seasoned technology leader with over two decades of experience designing enterprise architectures, data management systems, and AI solutions for government and commercial clients. He has held senior roles including VP of AI Solutions and CTO, led metadata and enterprise data strategy at DHS, and spearheaded AI adoption and ParsonsGPT development at Parsons. A prolific technical author of 11–14 books and numerous columns, his code and ideas have been reused in products from LimeWire to Boeing, and he holds a patent for work with Fannie Mae. Michael excels at rapid problem comprehension, technical mentoring, and project turnarounds, pairing hands-on engineering (Java, C/C++, Kubernetes, Hadoop, microservices) with strategic advice to senior executives. Notably, he launched or guided foundational federal efforts like the DRM V2.0 and early NIEM releases, demonstrating impact beyond typical engineering roles. Based in Woodbridge, VA, he blends deep government program experience with modern AI/ML and cloud-native practice.
11 years of coding experience
33 years of employment as a software developer
MS CS, Computer Science, MS CS, Computer Science at Nova Southeastern University
BA, Computer Science, BA, Computer Science at New York University
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