I am deeply immersed in the fusion of Geospatial Data Infrastructures (GDI) with DevOps methodologies, further enriched by my specialization in Data Science and Artificial Intelligence (AI) applied to geospatial data. My expertise encompasses the development and maintenance of sophisticated GDI systems, optimized through DevOps practices such as automation, continuous integration (CI), and continuous deployment (CD), ensuring seamless and efficient geospatial operations.

In the realm of data science and AI, I focus on extracting valuable insights and predictive models from geospatial datasets. My proficiency includes leveraging machine learning algorithms and AI techniques to analyze and interpret complex geospatial data, leading to innovative solutions in areas like climate analysis, urban planning, and resource management. By integrating these advanced analytical methods with robust GDI systems, I ensure that geospatial data is not only accessible and manageable but also actionable, providing deep, data-driven insights that drive strategic decisions and foster significant advancements in various sectors.

📃 Historical Changes in Land Use and Suitability for Future Agriculture Expansion in Western Bahia, Brazil

📃 Patterns of land use, extensification, and intensification of Brazilian agriculture

📃 Climate Change and Intense Irrigation Growth in Western Bahia, Brazil: The Urgent Need for Hydroclimatic Monitoring

📃 Carbon stocks and dynamics of different land uses on the Cerrado agricultural frontier

📃 Influence of climate variability, fire and phosphorus limitation on vegetation structure and dynamics of the Amazon–Cerrado border

📃 Influence of climate variability, fire and phosphorus limitation on vegetation structure and dynamics of the Amazon–Cerrado border

📘 Servidores de mapas: programação para disponibilizar dados geográficos multidisciplinares utilizando tecnologias livres

👉 More research and work can be found on my Lattes CV 👈