Gabriel Sansigolo is a PhD candidate in Applied Computing at INPE with nine years of experience building geoinformatics-driven full-stack web platforms for environmental and health data. He combines Angular/Leaflet front-ends with Python Flask/SQLAlchemy APIs, PostgreSQL/PostGIS and GDAL-based geoprocessing to deliver scalable scientific data services such as Brazil Data Cube and HARMONIZE. His work spans research and production: from architecting Kubernetes-backed geospatial catalogs to field-oriented sample collection using Google Earth and Collect Earth. Based in São Paulo, he blends academic rigor with hands-on engineering, having led geocoding and historical spatial-data projects that enabled novel spatio-temporal analyses. Notably, he repeatedly bridges domain science and software by operationalizing complex remote-sensing and health datasets into user-facing platforms.
9 years of coding experience
3 years of employment as a software developer
Análise e Desenvolvimento de Sistemas, Computer Science, 10, Análise e Desenvolvimento de Sistemas, Computer Science, 10 at Fatec São José dos Campos - Prof. Jessen Vidal
Técnico em Informatica para Internet, Técnico em Informatica para Internet at ETEP Faculdades
Doutorado em Computação Aplicada, Computer Science, Doutorado em Computação Aplicada, Computer Science at INPE
A Research Data Repository provides the underlying computational infrastructure for storing, managing, cataloging, sharing and viewing scientific data. This component adopts protocols and interfaces based on open standards, especially those of the OGC consortium.
Contributions:6 releases, 120 commits, 5 PRs in 9 months
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Gabriel Sansigolo - Bolsista Pesquisador - FIOTEC at INPE