Domagoj Korais
Python Developer Data Scientist
Trieste, Friuli – Venezia Giulia, Italy
Summary
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Rockstar🎓
Top SchoolDomagoj Korais is a Python developer and data scientist with eight years of experience building robust geospatial and machine-learning tooling from Trieste, Italy. He has delivered production-focused back-end work at Sinergise and Planet, and began his career as a junior software developer at CYBERTEC. Domagoj contributes to high-profile open-source Earth-observation projects such as eo-learn and sentinelhub-py, where his work improved cross-platform reliability, error handling, and test coverage. He combines a strong academic foundation in Data Science and Scientific Computing with practical QA and automation skills, which helps him bridge research prototypes and resilient production pipelines. Colleagues rely on him for pragmatic fixes that increase stability (Windows path handling, KeyboardInterrupt support) rather than flashy rewrites. He’s comfortable navigating both data science workflows and engineering-quality code in satellite imagery ecosystems.
8 years of coding experience
5 years of employment as a software developer
Università degli Studi di Trieste
Italian, English, Croatian
Github Skills (11)
satellite-imagery10
machine-learning10
pathlib10
python-lib10
pytest10
python10
testing10
aws8
numpy8
github-ci4
githubaction-workflow4
Programming languages (6)
Github contributions (5)
sentinel-hub/eo-learn
Mar 2021 - Apr 2021
Role in this project:
Back-end Developer
Back-end DeveloperContributions:2 reviews, 12 commits, 4 PRs in 1 month
Contributions summary:Domagoj primarily focused on fixing and improving the core functionality of the `eo-learn` framework. Their contributions included addressing Windows path issues, minor code optimizations, and fixing a bug related to the representation of vector data. Furthermore, the user added the capability to handle `KeyboardInterrupt` exceptions during execution and implemented a test case for it. These changes demonstrate a focus on enhancing the robustness and stability of the library.
satellite-imagerypythonobservationearth-observationearth
sentinel-hub/sentinelhub-py
Feb 2021 - Feb 2021
Download and process satellite imagery in Python using Sentinel Hub services.
Role in this project:QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:1 review, 9 commits, 4 PRs in 15 days
Contributions summary:Domagoj's contributions primarily focus on improving the quality and reliability of the `sentinelhub-py` library. This is demonstrated through the addition of unit tests for various functionalities, including saving configurations and processing JPEG requests. The user also added tests for the intersection of BBox and geometry parameters within requests. The user also implemented improvements to error handling within the batch processing function.
python-librarysatellite-imageryrasteriopythonsar
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