Rennan Marujo
Technologist at INPE
São Paulo, Brazil
Summary
👤
Senior🎓
Top SchoolRennan Marujo is a technologist and PhD candidate in Applied Computing at INPE with eight years of experience building geospatial data platforms and remote sensing tools. He combines a strong academic foundation (MSc in Remote Sensing, BSc in Computer Science) with practical development roles at Funcate and research/technology positions at CNPq and INPE focused on data cubes, STAC metadata, and environmental monitoring of the Amazon. Rennan is skilled at bridging research and production: he has implemented scalable provisioning of geospatial services and improved metadata-driven data products to support operational monitoring. Based in São Paulo, he brings domain expertise in Earth observation workflows and an appetite for reproducible, metadata-first systems. Less obvious but valuable: he blends deep remote sensing knowledge with hands-on software engineering, making him effective at turning scientific requirements into maintainable data services.
8 years of coding experience
5 years of employment as a software developer
Bachelor in Computer Science Computer Science, Bachelor in Computer Science Computer Science at Universidade Federal de LavrasDoctor of Philosophy (Ph.D.) Applied Computation, Doctor of Philosophy (Ph.D.) Applied Computation at Instituto Nacional de Pesquisas Espaciais (INPE)
English, Portuguese
Stackoverflow
3reputation
1kreached
0answers
1question
Github Skills (61)
geoscience10
earth-observation10
datacube10
open-science10
atmosphere10
python10
r10
geospatial10
open-data10
gis10
earth-science10
jupyter-notebook10
satellite10
sentinel10
modis9
Programming languages (8)
Github contributions (5)
marujore/s2-angs
Sep 2020 - May 2024
Script to calculate Sentinel-2 (A-B) view_zenith, view_azimuth, sun_zenith and sun_azimuth
Contributions:25 pushes, 2 branches in 3 years 8 months
sentinel
brazil-data-cube/compendium-harmonization
May 2021 - Jan 2023
This is the official Research Compendium (RC) documentation, with all the materials (Codes, data, and computing environments) needed for the reproduction, replication, and evaluation of the results presented in the paper: A reproducible and replicable approach for harmonizing Landsat-8 and Sentinel-2 images
Contributions:1 review, 47 commits, 1 PR in 1 year 8 months
replicationsentinelremote-sensing
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