Roy Samaniego
Researcher at Universidad Peruana Cayetano Heredia
Ávila, Castile and León, Spain
Summary
👤
Senior🎓
Top SchoolRoy Samaniego is a geoinformatics researcher and GIS developer with eight years of experience applying AI and advanced geotechnology to remote sensing, photogrammetry and spatial data engineering. He combines academic rigor—PhD candidate in Geotechnologies at Universidad de Salamanca and a Master's in Computer Science—with hands-on impact across projects like RGEE, CloudSen12 and contributions to the widely used rgee package for Google Earth Engine integration. Roy has built practical tools for satellite harmonization, 3D reconstruction (NeRF, SfM, Gaussian Splatting), and deforestation monitoring, and is fluent in Python, GEE, Docker and spatial databases (Oracle, SQL Server, PostgreSQL). As a university instructor and collaborator with national agencies, he bridges research and operational deployment, automating workflows that support conservation and national-scale analysis. He often focuses on improving reproducibility and cross-platform usability—evidenced by his work on Windows install testing and automated updates for rgee—making complex geocomputing more accessible to practitioners.
9 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Geography, Bachelor's degree, Geography at Universidad Nacional Mayor de San MarcosDoctor of Philosophy - PhD, Geotechnologies, Doctor of Philosophy - PhD, Geotechnologies at Universidad de SalamancaMaster's degree, Computer science, Master's degree, Computer science at Pontificia Universidad Católica del Perú
Spanish, English
Github Skills (8)
google-earth-engine10
r10
sfx9
sfc9
spatial-data8
python7
docker4
dockers4
Programming languages (6)
Github contributions (5)
r-spatial/rgee
Aug 2019 - Sep 2020
Google Earth Engine for R
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:28 commits, 1 PR, 33 pushes in 1 year 1 month
Contributions summary:Roy contributed to the `rgee` repository by implementing installation testing and resolving related issues, specifically for Windows systems. They also integrated and updated the `ee_download` function, which involves downloading data from Google Drive, as well as the `ee_map` and `ee_as_sf` functions, which enhance the user experience of the tool. Additionally, the user introduced functionality for automated updates to the repository, improving the project's maintainability and versioning.
google-earth-enginerearth-enginegoogleearthenginespatial-data
ryali93/SupportGIS
May 2019 - Jan 2021
Contributions:36 commits, 35 pushes, 1 branch in 1 year 8 months
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