Summary
Bryce Luna is an Applied AI and Data Systems consultant with a decade of experience turning messy domain data and fragile processes into reliable, reproducible analytics and ML systems. He’s built scalable models, automated ingestion pipelines, and simulation tooling—notably supporting market power analysis and M&A workflows in the energy sector—and helped an early-stage Interos scale real-time threat detection across millions of suppliers. Comfortable in both startup and government-contract settings, Bryce pairs rigorous engineering from his electrical engineering and physics background with practical consulting experience at Leidos and as an independent founder. He excels at making research and decision-support workflows auditable and reusable, and brings a knack for translating domain expertise into production-ready data infrastructure. Based in Washington, D.C., he blends hands-on implementation with client-facing advisory work to improve trust in AI-driven systems.
10 years of coding experience
11 years of employment as a software developer
Data Science, Data Science, Data Science, Data Science at Galvanize - Denver, Platte
B.S, Electrical Engineering, Physics, B.S, Electrical Engineering, Physics at Rice University