Summary
Galdir Reges is a Staff Data Scientist and Artificial Intelligence Architect with a PhD in Mechatronics and eight years of focused experience turning large-scale industrial and financial datasets into deployable ML and AI systems. He designs end-to-end solutions—from predictive digital twins and real-time control integrations for Petrobras to personalized investment recommendation engines for Banco do Brasil—using Python, TensorFlow/Keras, spaCy and Triton for production inference. A seasoned academic and educator, he has taught AI and software courses at multiple universities while leading research that moved into field testing, demonstrating measurable gains in production and equipment lifespan. He blends deep control-systems expertise with practical MLOps and ETL skills (IBM Cloud Pak, DB2, Datastage), and his work has been recognized with a Banco do Brasil hackathon win. Notably, his background in mechatronics and hands-on automation integration gives him a rare strength in closing the loop between prediction and control in real-world industrial deployments.
8 years of coding experience
12 years of employment as a software developer
Pós-graduação Lato Sensu, Administração de Banco de Dados, Pós-graduação Lato Sensu, Administração de Banco de Dados at Faculdade Metropolitana
Bachelor, Information Systens, Bachelor, Information Systens at Universidade Salvador
Doctor in Science (DSc / PhD), Mechatronics, Doctor in Science (DSc / PhD), Mechatronics at Universidade Federal da Bahia
Technician, Eletronics, Technician, Eletronics at Centro Federal de Educação Tecnológica Celso Suckow da Fonseca
Pós-graduação Lato Sensu - Especialização, Artificial Intelligence and machine learning, Pós-graduação Lato Sensu - Especialização, Artificial Intelligence and machine learning at Anhanguera Educacional
English, Portuguese