Fabian Schenk is a software engineer and computer vision specialist with eight years of experience, currently working at Meta after roles at Mapillary and as a PhD researcher in real-time RGB-D SLAM and dense 3D reconstruction at Graz University of Technology. His background blends biomedical engineering degrees with a PhD in computer science, and a year abroad at Universidad Carlos III de Madrid, giving him cross-disciplinary strengths in sensor fusion, tracking, and 3D reconstruction. At Mapillary he contributed backend improvements to the widely used OpenSfM Structure-from-Motion pipeline, optimizing performance and refining camera models—work that reflects deep familiarity with mathematical libraries like Eigen and practical system-level refactors. Fabian’s profile combines academic rigor with production engineering, making him adept at turning cutting-edge SLAM research into scalable, maintainable code for real-world applications.
8 years of coding experience
6 years of employment as a software developer
Charles III University of Madrid (Universidad Carlos III de Madrid)
Bachelor's degree, Biomedical/Medical Engineering, Bachelor's degree, Biomedical/Medical Engineering at Technische Universität Graz
Contributions:7 reviews, 372 commits, 20 PRs in 2 years 8 months
Contributions summary:Fabian's commits primarily focus on refactoring and improving the OpenSfM Structure-from-Motion pipeline. They made code adjustments to optimize performance by converting to sets, and removed auto declarations for Eigen matrix and vector types. The user also implemented modifications to the camera models by introducing more parameters and creating a C++ data structure, while removing Sophus dependency, demonstrating a strong understanding of the project's internal data structures and underlying mathematical libraries.
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