Summary
Nauber Gois is an Internal Control Auditor specializing in Information Technology and AI with 13 years of experience applying machine learning and deep learning to generate measurable public-sector value. Based in Ceará, Brazil, he leads AI initiatives at the state audit office while concurrently teaching and researching advanced topics—from Deep Learning and Big Data platforms to applied neuroscience—across multiple universities. His career blends hands-on production work (anomaly detection for IoT, medical imaging with 3D U-Nets, XAI for healthcare) with building ML pipelines and rapid prototyping practices that simplify complex systems. Notably, he has translated research-grade techniques such as DCGANs and self-supervised learning into operational solutions for public health and diagnostics. This combination of practitioner, educator, and researcher enables him to move models from concept to audit-ready deployment with an emphasis on governance and reproducibility.
13 years of coding experience
15 years of employment as a software developer
AI for Medicine, Computer Science, AI for Medicine, Computer Science at Coursera
Agentic AI Nanodegree, Artificial Intelligence, Agentic AI Nanodegree, Artificial Intelligence at Udacity
Especialização, Web Developer, Especialização, Web Developer at Universidade Federal do Ceará
Post Doctoral Research, Applied Neuroscience, Post Doctoral Research, Applied Neuroscience at University of Saint Joseph
Doctor of Philosophy - PhD, Applied Science and Technology, Doctor of Philosophy - PhD, Applied Science and Technology at Universidade de Fortaleza
Portuguese, English