Oscar Rubi
Head Of Big Data, Cloud And Advanced Analytics
Badalona, Catalonia, Spain
Summary
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Senior🎓
Top SchoolOscar Rubi is a Head of Big Data, Cloud and Advanced Analytics with 11+ years turning scientific research problems into production-ready, scalable data systems across astronomy, geospatial, remote sensing and NLP domains. He blends hands-on engineering—from building petabyte-scale databases and Spark interfaces to optimizing photogrammetry tie-point tools—to strategic leadership of cloud and analytics teams. His career includes key roles on ESA’s Gaia mission and LOFAR Epoch of Reionization, where he designed cluster and GPU-enabled workflows for massive data processing and monitoring. At the Netherlands eScience Center he led projects that made country-scale point cloud visualization and cloud-native 3D infrastructures practical for archaeology and science. An active open-source contributor, he improved micmac photogrammetry tooling and parallelized tasks for high-throughput processing. Based in Badalona, Spain, he pairs a telecoms engineering foundation and astrophysics master’s with a rare mix of research rigor and production cloud expertise.
11 years of coding experience
9 years of employment as a software developer
UPC Universitat Politècnica de CatalunyaMasters degree in Astrophysics Particle Physics and Cosmology Astrophysics Particle Physics and Cosmology, Masters degree in Astrophysics Particle Physics and Cosmology Astrophysics Particle Physics and Cosmology at Universitat de Barcelona
Spanish, Catalan, English, French, Dutch
Stackoverflow
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0reached
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Github Skills (9)
c-language10
cprogramming-language10
photogrammetry10
algorithms9
python-scripts8
script8
pyscript8
scripting8
python8
Programming languages (5)
Github contributions (5)
micmacIGN/micmac
Mar 2016 - Aug 2016
Free open-source photogrammetry software tools
Role in this project:
Back-end Developer
Back-end DeveloperContributions:17 commits in 5 months
Contributions summary:Oscar contributed to the `micmac` project by implementing and refining a tie-point reduction tool. Their work involved adding and modifying code within the `src/uti_phgrm/TiepRed` directory, specifically focusing on the `cAppliTiepRed.cpp` and related files. These changes introduced features, corrected errors, and enhanced the processing of tie points, which is essential for photogrammetry. The user also added a script to parallelize RedTiep with Noodles, demonstrating knowledge of task management.
photogrammetry
NLeSC/pointcloud-benchmark
Feb 2015 - Nov 2015
Contributions:44 commits, 98 pushes, 1 branch in 8 months
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