Summary
Paul Prae is a Principal AI Solutions Architect with 12+ years building enterprise AI and data platforms for healthcare, life sciences, and finance, having led architecture and product delivery at AWS, Booz Allen, and multiple startups. He combines hands-on engineering—ML platforms for mental health, neuroimaging and genomics pipelines, and high-throughput CDC/data lake systems—with people leadership, guiding teams from discovery to HIPAA-compliant production. Paul is fluent in AWS and Azure generative AI stacks, but also champions open-source agentic tooling (LangChain, Ollama, n8n, Neo4j) to build decentralized Web3 apps that help working-class entrepreneurs generate wealth. Notably, he designs agent-driven developer toolkits and observability pipelines that turn data operations into autonomous, production-ready practices. Based in Buford, GA, he pairs multidisciplinary training in computer and cognitive science with a long history of shipping reliable, privacy-first solutions at scale.
12 years of coding experience
18 years of employment as a software developer
Data Science, Data Science at University of North Carolina at Charlotte
University of Georgia
Associate of Science (AS), Business Administration, Associate of Science (AS), Business Administration at Georgia State University Perimeter College