Hunter Laux
Principal Software Engineer at Teladoc Health
Phoenix, Arizona, United States
Summary
🤩
Rockstar🎓
Top SchoolHunter Laux is a Principal Software Engineer with 12 years of experience building robotic and healthcare software, currently leading architectural work at Teladoc Health. He combines deep systems expertise in Linux, computer vision, and point-cloud processing with a strong robotics background from roles at InTouch Health and contributions to research-grade toolkits. A UC Santa Barbara M.S. graduate, Hunter has hands-on experience improving core libraries—evident from back-end contributions and refactors to the widely used MRPT mobile-robot toolkit and ROS image_pipeline nodelets. He focuses on robust memory management, unit-tested core components, and practical integrations between camera data and point cloud pipelines. Colleagues rely on him to translate complex sensor-processing requirements into maintainable, production-ready code that bridges research and clinical products.
11 years of coding experience
17 years of employment as a software developer
Lower Division Course Work Computer Science, Lower Division Course Work Computer Science at De Anza CollegeBachelor of Science (BS) Computer Science, Bachelor of Science (BS) Computer Science at UC Santa Barbara
English
Github Skills (19)
unit-testing10
c-language10
image-processing10
cplus10
cpp10
cprogramming-language10
point-cloud10
ros10
robotics9
sens9
opencv9
sensor9
c179
c-templates9
cpp-templates9
Programming languages (17)
Github contributions (5)
MRPT/mrpt
Apr 2016 - Mar 2021
:zap: The Mobile Robot Programming Toolkit (MRPT)
Role in this project:
Back-end Developer
Back-end DeveloperContributions:364 commits, 228 PRs, 180 pushes in 4 years 11 months
Contributions summary:Hunter's contributions primarily involve improving the codebase by implementing generic functionalities for memory management, adding include statements, implementing unit tests for core classes like those handling point clouds and poses. The user also added new functionality for the 2D range scan data structure by introducing optional intensity values and providing a function to determine if the scan has intensity values, which improved the capabilities of this robotic toolkit. Furthermore, the user performed crucial refactoring work in the core parts of the library.
robot-programmingroboticsmobile-robotspoint-cloudsrobot-framework
ros-perception/image_pipeline
Jul 2014 - Mar 2015
An image processing pipeline for ROS.
Role in this project:Backend Developer
Backend DeveloperContributions:8 commits, 1 PR in 8 months
Contributions summary:Hunter primarily contributed to the `depth_image_proc` package, adding and modifying nodelets, specifically for point cloud processing. They implemented new nodelets like `point_cloud_xyzi` and `point_cloud_xyzi_radial`, demonstrating an understanding of image processing techniques. These changes involved significant code modifications related to point cloud generation and handling various image encodings. The user also worked on integrating camera information and adapting to different image resolutions.
pythonpipelineprocessing-pipelinec-plus-plusimage-processing
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