Javier Shaw
Expert Software Engineer - R&D at Pix4D
Berlin, Germany
Summary
🤩
Rockstar🎓
Top SchoolJavier Shaw is an Expert Software Engineer based in Berlin with 10+ years designing high-performance C++ systems for geospatial and network domains. At Pix4D he leads the Spatial Reference Systems team, building a cross-platform SRS library (C++ and Python) and optimizing photogrammetry pipelines that process thousands of multispectral images into responsive orthomosaics. He is an active open-source contributor to PROJ and GDAL—working on GTiff/XMP handling and performance-sensitive raster/COG workflows—and has also improved the popular Leaflet library’s UI and accessibility. Earlier roles at Oracle and BBVA honed his low-latency networking and large-scale quantitative systems skills, including DPDK-based packet processing and grid computing optimizations. Known for turning numerical and spatial complexity into pragmatic, test-covered code, he regularly gives internal technical talks and serves as the company’s go-to CRS consultant. An engineer rooted in computational geometry and real-world performance tuning, he blends research-grade GIS knowledge with production-grade tooling and CI practices.
10 years of coding experience
16 years of employment as a software developer
High School, High School at Colegio Nuestra Señora del RecuerdoMSc Engineering, Civil and Hydraulic, MSc Engineering, Civil and Hydraulic at Universidad Politécnica de Madrid
English, Spanish, German
Github Skills (12)
gdal10
javascript10
c-language10
cprogramming-language10
leaflet10
testing10
spatial-data9
python9
geospatial9
raster9
tiff8
css8
Programming languages (11)
Github contributions (5)
Leaflet/Leaflet
May 2017 - Jan 2019
🍃 JavaScript library for mobile-friendly interactive maps 🇺🇦
Role in this project:
Front-end Developer
Front-end DeveloperContributions:13 commits, 12 PRs, 25 comments in 1 year 8 months
Contributions summary:Javier primarily focused on fixing bugs and improving the user interface of the Leaflet library. They addressed issues related to layer behavior within the Control.Layers component, ensuring consistent behavior when layers are repeated. Additionally, the user made documentation corrections, adjusted CSS styling and updated the release date. Their work included adding unique identifiers to radio buttons within the Control.Layers component and altering descriptions, indicating a focus on improving user experience.
leafletjavascript-libraryjavascriptmapmobile-friendly
OSGeo/gdal
Jul 2018 - Apr 2022
GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.
Role in this project:Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:37 reviews, 9 commits, 20 PRs in 3 years 9 months
Contributions summary:Javier primarily contributed to the GDAL library by implementing and improving the GTiff driver. Their work involved enhancing the handling of XMP metadata within GTiff files, including copying and deleting XMP data. The user also added new tests and modified existing ones, demonstrating a focus on ensuring the correctness and functionality of the GTiff driver's features. The changes extend to include modifying the build and usage of overview files.
licensedrasteriogeospatialrasterdata-formats
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