Summary
Leodécio Braz is a data scientist with 10 years of experience specializing in computer vision and machine learning, currently pursuing a PhD in Computer Science at UNICAMP and working at Minerva Foods. His background spans applied research in oil & gas time-series and deep learning, production-focused CV models for mobile apps, and academic teaching—bridging research rigor with product-driven implementation. He has hands-on experience with LSTMs, transformers, convolutional networks, and end-to-end solutions that move prototypes into business contexts. Based in Ceará, Brazil, he combines strong academic credentials (MSc and ongoing PhD) with practical engineering—often building tools that directly help users rather than just exploring models. An interesting thread across his career is repeatedly turning domain-specific problems (e.g., well-profile analysis, handbag brand classification, network signal mapping) into deployable data-driven tools.
9 years of coding experience
Doutorado, Computer Science, Doutorado, Computer Science at Universidade Estadual de Campinas
Bacharelado, Computer Science, Bacharelado, Computer Science at Universidade Federal do Ceará