Raphael Favier
Freelance Software Engineer Architect at ForScience
North Brabant, Netherlands
Summary
👤
Senior🎓
Top SchoolRaphael Favier is a freelance software engineer and architect with 14 years of experience building robust, data-driven systems for startups, enterprises and research organisations from the Netherlands. He combines hands-on engineering—from C++ research code and LiDAR/3D perception work to modern full‑stack and AWS-based data platforms—with strategic architecture and product-facing consultancy. As a co-founder and technical lead he has delivered scalable ETL, API and BI solutions, led digital transformation efforts, and built AI agent automation to streamline decision workflows. His open-source contributions include substantive texture-mapping enhancements to the widely used Point Cloud Library, reflecting deep practical expertise in 3D perception and performance-critical code. Comfortable moving between R&D and production, he’s particularly skilled at turning experimental algorithms into maintainable, high-throughput systems that align with business goals.
14 years of coding experience
10 years of employment as a software developer
DUT Computer Science, DUT Computer Science at IUT valenceEngD Software Design, EngD Software Design at Eindhoven University of TechnologyMSc AI Distributed systems. RT Embedded systems, MSc AI Distributed systems. RT Embedded systems at Université du Québec à Trois-RivièresMSc Real Time and embedded system, MSc Real Time and embedded system at UTBMMSc Data mining, MSc Data mining at Jeonbuk National University
English, Dutch, French
Github Skills (7)
pcl10
computer-vision10
point-cloud-library10
c-language10
cprogramming-language10
point-cloud10
raytracing9
Programming languages (6)
Github contributions (5)
PointCloudLibrary/pcl
Mar 2012 - Feb 2016
Point Cloud Library (PCL)
Role in this project:
Back-end Developer
Back-end DeveloperContributions:38 commits, 2 PRs, 2 comments in 3 years 11 months
Contributions summary:Raphael's initial commit introduces new functionalities for texture mapping, focusing on occlusion detection using raytracing within octrees and UV mapping based on texture resolution and camera focal length. Subsequent commits refined comments within the texture mapping implementation. Later commits expanded texture mapping capabilities to handle multiple cameras and meshes. Overall, the user implemented critical new features within the texture mapping functionality, suggesting a strong understanding of the codebase and its goals.
cpppoint-cloud-libraryc-plus-pluscomputer-visionpcl-library
zizipoil/pcl
Jan 2016 - Feb 2016
Contributions:1 push, 1 branch in 1 month
point-cloud-librarypcl-librarypclpointpoint-cloud
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