Fabricio Braz is an associate professor and AI practitioner with over a decade of experience translating executive AI ambitions into deployed solutions for government and judicial systems. He moved from a strong background in software security—holding a PhD and experience as a security process analyst and OWASP chapter leader—into machine learning, applying anomaly detection early on and later delivering impactful projects for Brazil’s Supreme, Federal, and State courts. At Universidade de Brasília he teaches coding and deep learning across all student levels and supervises industry-linked research, often turning academic prototypes into production tools for public-sector clients. Known for bridging rigorous academic research with practical, auditable implementations, he reads every outreach personally and prefers hands-on collaboration to drive real-world AI adoption.
10 years of coding experience
Bachelor, Computer Science, Bachelor, Computer Science at Pontifícia Universidade Católica de Goiás
Visiting Scholar, Security Patterns, Visiting Scholar, Security Patterns at Florida Atlantic University
PhD, Software Security, PhD, Software Security at Universidade de Brasília
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