Alexandre Guénette is a software developer based in Quebec City with eight years of hands-on experience in robotics and mapping systems. He has contributed to the widely used libpointmatcher ICP library, improving C++ code quality, modernizing pointer usage, and adding Python bindings—work that reflects strong backend and systems-level skills. At Université Laval and Norlab he supported research and taught undergraduates while leading software for the student autonomous vehicle team, demonstrating an ability to bridge research, education, and production projects. Currently at POINT.LAZ, he focuses on practical implementations of perception and mapping technologies, combining a software engineering degree with a background in embedded robotics platforms. Notably, his early training in lutherie hints at a meticulous, craft-oriented approach to engineering and prototyping.
8 years of coding experience
Baccalauréat, Génie logiciel, Baccalauréat, Génie logiciel at Université Laval
Diplôme d'études collégiales, Sciences informatiques et mathématiques, Diplôme d'études collégiales, Sciences informatiques et mathématiques at Cégep Limoilou
An Iterative Closest Point (ICP) library for 2D and 3D mapping in Robotics
Role in this project:
Back-end Developer
Contributions:17 reviews, 66 commits, 13 PRs in 1 year 2 months
Contributions summary:Alexandre primarily focused on refactoring and improving the codebase related to the `Registrar.h` file. They replaced raw pointers with shared pointers and replaced `boost.auto` macros with C++11 `auto` to improve code quality. Further contributions involved correcting the `reg()` method and merging changes from the master branch and other branches. The user also contributed to the addition of Python bindings.
An "Iterative Closest Point" library for 2-D/3-D mapping in Robotics
Contributions:80 pushes, 11 branches in 2 years 8 months
roboticsclosestpoint-cloudspybulletiterative
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Alexandre Guénette - Software Developer at POINT.LAZ