Gabriel Sansigolo
Bolsista De Desenvolvimento Tecnológico - CNPQ at INPE
São Paulo, Brazil
Summary
👤
Senior🎓
Top SchoolGabriel 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, Análise e Desenvolvimento de Sistemas, Computer Science at Fatec São José dos Campos - Prof. Jessen VidalTécnico em Informatica para Internet, Técnico em Informatica para Internet at Etep - Centro UniversitárioDoutorado em Computação Aplicada, Computer Science, Doutorado em Computação Aplicada, Computer Science at INPE
English, Portuguese
Stackoverflow
15reputation
16kreached
0answers
2questions
Github Skills (60)
r9
datacube9
earth-observation9
geospatial9
portal9
gis9
earth-science9
jupyter-notebook8
flask8
crud8
relational-databases8
python8
3d8
webservice8
visualization8
Programming languages (9)
Github contributions (5)
terrabrasilis-research-data/data-hub
Jun 2019 - Apr 2021
The Data Portal is responsible for organizing the entry of researchers and users in the form of a web interface and the platform's functionalities. Inspired by digital libraries, the Data Portal will provide navigation through all published data sets, visualization of research groups, generation of citation of data sets, download of data among other functions.
Contributions:20 releases, 1 review, 238 commits in 1 year 10 months
visualization
GSansigolo/deep-learning
Nov 2018 - May 2024
Contributions:4 pushes in 5 years 7 months
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