Summary
Caio Hamamura is a multidisciplinary IT professor and data scientist with 13 years of experience building full-stack geospatial and data-analysis systems for academia, NGOs and industry. Trained as a biologist with an MSc and PhD in Forest Resources from USP, he combines domain expertise in ecology and remote sensing with hands-on skills in React, Node, PostgreSQL/PostGIS, Python, R and C#. He has shipped production GIS products—from a QGIS OpenCL plugin to a national agriculture atlas—and developed R/Python packages for satellite and LiDAR workflows published to CRAN and PyPI. Known for rapidly prototyping robust solutions, he also led adoption of agile practices and trained teams in scripting, databases and development. Based in Piracicaba, Brazil, he uniquely bridges forest science and software engineering to turn complex spatial data into operational tools.
13 years of coding experience
Escola Superior de Agricultura "Luiz de Queiroz"
Análise e Desenvolvimento de Sistemas, TI, Análise e Desenvolvimento de Sistemas, TI at Unifran
Licenciatura em Ciências Biológicas, Biology/Biological Sciences, General, Licenciatura em Ciências Biológicas, Biology/Biological Sciences, General at Universidade de São Paulo / USP - campus de Piracicaba
Mestre em Ciências, Recursos Florestais, CAPES: 5, Mestre em Ciências, Recursos Florestais, CAPES: 5 at Universidade de São Paulo / USP
University of São Paulo
French, English, Portuguese, Spanish, German