Matic Lubej is a software engineer and data scientist with 8 years of experience applying machine learning to Earth Observation, now building data-driven products at Planet Labs. He started in experimental particle physics (PhD) and transitioned that rigor into robust EO tooling and pipelines during a five-year tenure at Sinergise. Matic contributes to prominent open-source EO projects like eo-learn and sentinelhub-py, improving testing, error handling, and example usability to make satellite imagery processing more reliable and accessible. Based in Ljubljana, he blends research-grade analytical skills with practical full-stack development, often focusing on QA and reproducibility—an uncommon emphasis for ML practitioners.
8 years of coding experience
9 years of employment as a software developer
Graduate, Graduate at Šolski Center Celje - Gimnazija Lava
Bachelor of Science (BSc), Bachelor of Science (BSc) at University of Ljubljana, Faculty of Mathematics and Physics
Earth observation processing framework for machine learning in Python
Role in this project:
Back-end Developer & QA Engineer
Contributions:1 release, 311 reviews, 182 commits in 3 years 7 months
Contributions summary:Matic primarily contributed to the codebase by addressing issues related to the overwriting of EO-patches, which involved adding and improving unit tests for the `eo-patch` module, as well as implementing better error handling. In addition to this, the user made various consistency fixes throughout the code. The user's work focused on enhancing the testing and reliability of the core functionality of the project.
Download and process satellite imagery in Python using Sentinel Hub services.
Role in this project:
Full-stack Developer
Contributions:1 release, 76 reviews, 24 commits in 1 year 9 months
Contributions summary:Matic primarily focused on updating and improving example notebooks related to the Sentinel Hub Processing API. They modified the existing code, added new features like cloud mask integration, and addressed code deprecation warnings. The user also added table of contents to the notebook examples for better navigation. These changes indicate a focus on improving the usability and documentation of the Sentinel Hub Python library.
python-librarysatellite-imageryrasteriopythonsar
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