Mid Software Developer - Research Team at Technicolor Group
France
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Summary
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Candice Bentéjac is a Mid Software Developer with 11 years of experience specializing in computer vision, image processing and embedded systems, currently contributing to research at Technicolor in France. She holds a rare triple master’s background in Image Processing and Computer Vision from European programs and has applied that academic depth to real-world products like drone stereo pipelines and automotive smart antenna systems. A pragmatic C++/Python engineer, she has optimized DSP code, ported complex stereo depth pipelines to new architectures, and built validation tools and test automation for production environments. An active open-source contributor, she improved both UI and backend of the widely used Meshroom 3D reconstruction project and harmonized tools across the AliceVision photogrammetry framework. Colleagues value her for bridging research-grade algorithms and production constraints, with hands-on expertise in OpenCV, Qt, and CI-driven development.
11 years of coding experience
4 years of employment as a software developer
Master 1 (M1), Addiction Prevention and Treatment, Mention Très Bien, Master 1 (M1), Addiction Prevention and Treatment, Mention Très Bien at Universidad Autónoma de Madrid
Master 2 (M2), Computer Science, Mention Très Bien, Master 2 (M2), Computer Science, Mention Très Bien at Université de Bordeaux
Master 1 (M1), Computer Science, Mention Très Bien, Master 1 (M1), Computer Science, Mention Très Bien at Pázmány Péter Katolikus Egyetem
French Scientific Baccalauréat, Applied Mathematics, Mention Très Bien (Very Good), French Scientific Baccalauréat, Applied Mathematics, Mention Très Bien (Very Good) at Lycée Nord Bassin
Bachelor's degree, Computer Science, Mention Bien (Good), Bachelor's degree, Computer Science, Mention Bien (Good) at University of California, Riverside
Contributions:2 releases, 295 reviews, 171 commits in 6 months
Contributions summary:Candice contributed significantly to the user interface and backend of the 3D reconstruction software. They enhanced the UI by improving the layout and behavior of the graph editor, implemented copy/paste features for nodes, and added visual feedback for node execution. Furthermore, they modified the backend by enabling variables to be evaluated in nodes' string parameters, and by allowing the import of project files as pipeline templates.
Contributions:1 release, 228 reviews, 45 commits in 3 months
Contributions summary:Candice primarily focused on improving the command-line interface descriptions and fixing/harmonizing executable names across various tools within the AliceVision framework. They modified descriptions in multiple modules, including `convert`, `export`, and `utils`. Additionally, the user made changes to image processing, including removing unnecessary imports and correcting documentation and default values for the NL Means filter. Further contributions involved template implementations and documentation improvements in OpenCV conversion methods.
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Candice Bentéjac - Mid Software Developer - Research Team at Technicolor Group