Panji Brotoisworo
Geographic Information System Developer
Metro Manila, Philippines
Summary
👤
Senior🎓
Top SchoolPanji Brotoisworo is a GIS developer and researcher with eight years of experience building Python-driven geospatial and imagery-analysis workflows for both commercial and open-source platforms. He designs backend automation that moves field data into enterprise systems (ArcGIS, NetSuite) and creates cloud-deployable InSAR pipelines capable of processing terabytes of radar time-series for infrastructure and mining risk assessment. Comfortable with licensed tools and free alternatives, he blends practical deployment skills with research rigor—publishing on satellite image processing and traffic safety while contributing stability and cross-platform fixes to the well-used MintPy InSAR project. Panji also experiments with machine learning for satellite image classification and has developed Go-based preprocessing tools for multi-sensor atmospheric correction and coregistration. Based in Metro Manila, he has a track record of turning complex remote-sensing methods into user-focused tools and trainings for government and industry partners.
8 years of coding experience
2 years of employment as a software developer
High School, International Baccalaureate, High School, International Baccalaureate at International School ManilaBachelor’s Degree, Environmental Science, Bachelor’s Degree, Environmental Science at California State University-East BayMaster’s Degree, Environmental Management and Sustainability, Master’s Degree, Environmental Management and Sustainability at Monash University
English, Indonesian
Github Skills (9)
insar10
raid10
time-series10
geophysics10
python10
geodesy10
rad10
numpy9
gdal8
Programming languages (2)
Github contributions (5)
insarlab/MintPy
Mar 2021 - Nov 2021
Miami InSAR time-series software in Python
Role in this project:
Back-end Developer
Back-end DeveloperContributions:3 reviews, 5 commits, 5 PRs in 8 months
Contributions summary:Panji focused on improving the stability, usability, and platform compatibility of the `mintpy` software, a time-series analysis tool for InSAR data. They addressed potential overflow issues related to 32-bit operating systems and refactored plotting functionality to be platform-neutral, enabling result plotting on Windows OS. Furthermore, they improved the integration with the PyAPS model for tropospheric delay correction, adding checks for configuration. The user also contributed to utilities like `save_gdal.py` and `coord.py`, adding features related to UTM projection support.
sentinel-1tectonicspythontime-series-analysismiami
pbrotoisworo/tweet2map
Sep 2018 - Apr 2021
Data mining MMDA tweets into a usable database for traffic accident research
Contributions:1 release, 146 commits, 12 PRs in 2 years 8 months
miningdata-miningdatabasetrafficusable
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