Digne-les-Bains, Provence-Alpes-Côte d'Azur, France
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Summary
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Jacky Volpes is a GIS-focused software engineer with eight years of experience building data-driven tools and automations, currently contributing at Oslandia from Provence-Alpes-Côte d'Azur. He combines strong C++ and Python skills with distributed computation, Unix tooling, Qt-based UI development and MVC practices to turn spatial data into actionable insights. His background spans research (CEA), industrial embedded systems (Unistellar), and enterprise Python development for infrastructure clients, giving him a rare mix of scientific rigor and production engineering. An active contributor to the flagship QGIS project, he’s improved Oracle provider support and synchronized UI panels—work that reflects both backend data handling and practical UX improvements. Comfortable in Agile teams and familiar with GitLab/GitHub workflows, he routinely modernizes legacy code and upgrades deprecated functions for long-term maintainability. Beyond GIS, he enjoys exploring new fields via predictive modeling and process automation, often bridging domain knowledge with pragmatic software design.
8 years of coding experience
7 years of employment as a software developer
Engineer - Master of Science (MSc), Engineer - Master of Science (MSc) at Polytech Grenoble
2 year Technical degree, 2 year Technical degree at Université Joseph Fourier (Grenoble I)
QGIS is a free, open source, cross platform (lin/win/mac) geographical information system (GIS)
Role in this project:
Back-end Developer
Contributions:59 reviews, 36 commits, 146 PRs in 3 years 3 months
Contributions summary:Jacky contributed to the QGIS project by addressing specific issues and implementing new features related to data handling and user interface enhancements. They modified Python code and upgraded deprecated functions for compatibility. The user added functionality to synchronize the statistics panel with the layers panel and integrated support for no-geometry layer styles within the Oracle provider. Additionally, they fixed issues related to the estimated feature count on Oracle views and improved the handling of copying vertex tool table data.
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