Andre Gaschler
Tech Lead Manager, Robotics at Intrinsic
Bavaria, Germany
Summary
🤩
Rockstar🎓
Top SchoolAndre Gaschler is a Tech Lead Manager in robotics with 12 years of experience building and shipping core SLAM and perception infrastructure across research and industry, currently leading robotics software at Intrinsic (Alphabet). He combines deep academic roots—PhD-level research on geometric predicates and visiting stints at Stanford and Johns Hopkins—with hands-on engineering at Google and X, specializing in backend systems for mapping, sensor fusion, and real-time performance. His open-source contributions to the widely-used Cartographer project demonstrate practical mastery of submap visualization, multi-texture rendering, and faster scan matching—improving both developer tooling and runtime efficiency. Based in Bavaria, he’s equally comfortable refactoring complex C++ codebases and guiding cross-functional teams to deploy robust robot perception stacks.
12 years of coding experience
10 years of employment as a software developer
Johns Hopkins UniversityBachelor's degree, Information Systems, Bachelor's degree, Information Systems at Technical University MunichMaster's degree, Computer Science, Master's degree, Computer Science at Technical University of Munich
English, German, French
Github Skills (14)
algorithm10
data-structures10
algorithms10
c-language10
robotics10
3d-mapping10
cprogramming-language10
ros10
protobuffer10
protobuf10
data-structure10
architecture9
architectures9
ogre9
Programming languages (9)
Github contributions (5)
cartographer-project/cartographer
Sep 2017 - Apr 2019
Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:146 commits, 196 PRs, 56 pushes in 1 year 7 months
Contributions summary:Andre primarily contributed to the backend infrastructure of the Cartographer project, specifically focusing on adding features related to submap visualization, data processing, and optimization. They made changes to protobuf definitions, added new types for point cloud and range data, and modified the local trajectory builder to handle the processing of point clouds. The user also worked on implementing a faster scan matcher and modifying the pose extrapolator for improved performance.
3dlocalizationmappingroboticsself-driving
cartographer-project/cartographer_ros
Sep 2017 - Jul 2018
Provides ROS integration for Cartographer.
Role in this project:Back-end Developer
Back-end DeveloperContributions:32 commits, 69 PRs, 28 pushes in 10 months
Contributions summary:Andre primarily focused on adapting the ROS integration of the Cartographer project to handle multiple textures, a change introduced in a related Cartographer project. Their commits involved modifying `map_builder_bridge.cc`, `submap.cc`, `drawable_submap.cc`, and related header files to forward and visualize multiple textures within the ROS environment. They also worked on refactoring the code, renaming `OgreSubmap` to `OgreSlice`, and adding features to visualize both high and low-resolution slices. These changes were crucial for improving the visualization capabilities of the mapping data within the ROS framework.
ros
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