Summary
Thales Vieira is an Associate Professor and Senior Project Coordinator at UFAL/NEES with eight years of focused experience applying AI—especially machine learning, deep learning, computer vision, and NLP—to high-impact, real-world problems. He combines rigorous academic training (PhD in Applied Mathematics) with hands-on leadership of end-to-end AI projects, from research and prototyping to scaled deployments across education, legal tech, healthcare, mobility, media and oil & gas. Thales currently leads development of Sistema Gestão Presente, a national student-data platform implemented with Brazil’s Ministry of Education, demonstrating his ability to translate complex policy needs into operational technology. He has partnered with major public and private organizations such as TJ-AL, Petrobras and 99 Tecnologia, and is skilled at turning interdisciplinary research into pragmatic solutions that measurably improve public services. Notably, his background in applied mathematics informs a data-driven, theoretically grounded approach to building robust AI systems.
8 years of coding experience
Master's degree, Applied Mathematics, Master's degree, Applied Mathematics at Federal University of Alagoas
Pontifical Catholic University of Rio de Janeiro