Summary
Sérgio Costa is an applied computing professor and researcher with over 15 years of experience specializing in geoprocessing, remote sensing and data analysis, currently holding senior teaching and research roles at UFMA and its professional master's program PROFCOMP. He blends academic leadership with hands-on engineering, having designed the IntegrAI digital health architecture that combines R-based predictive models, SHAP explainability, Docker microservices, Django and FastAPI to monitor gestational health using generative AI. His teaching portfolio spans programming paradigms, compilers, data structures and web development across undergraduate and graduate programs, reflecting a rare mix of environmental science and software systems expertise. Based in Maranhão, Brazil, he pairs a PhD in Applied Computing with practical experience building spatial data tooling (C++, TerraLib) and high-performance asynchronous systems. Colleagues know him as a technology enthusiast who consistently integrates research and production software to train the next generation of computing professionals.
11 years of coding experience
3 years of employment as a software developer
Doutorado em Computação Aplicada, Computer Science, Doutorado em Computação Aplicada, Computer Science at Instituto Nacional de Pesquisas Espaciais
Tecnologia em Processamento de Dados, Information Technology, Tecnologia em Processamento de Dados, Information Technology at Centro Universitário Presidente Antônio Carlos - UNIPAC
Centro de Educação Tecnológica
German, Spanish, English