David Wisth is a CTO and co-founder based in Oxford with eight years of experience at the intersection of robotics, SLAM and systems engineering. He holds a PhD from the University of Oxford in computer vision and has transitioned academic research on 3D mapping and autonomous robots into startup leadership at NavLive. Prior roles include postdoctoral research, systems engineering at Siemens across automation and railway signalling, and hands-on teaching and mentoring during his early career—demonstrating both technical depth and people leadership. He contributes to open-source robotics tooling as a QA/test automation engineer on the widely used GTSAM library, improving test coverage for core factors and Jacobian verification. Known for blending rigorous academic methodology with practical product delivery, he brings a rare combination of algorithmic expertise and operational experience to scaling robot perception systems.
8 years of coding experience
4 years of employment as a software developer
Viewbank College
Doctor of Philosophy - PhD Computer Vision SLAM Robotics, Doctor of Philosophy - PhD Computer Vision SLAM Robotics at University of Oxford
The University of Melbourne
Master of Engineering (MEng) (Exchange Program) Mechatronics Robotics and Automation Engineering, Master of Engineering (MEng) (Exchange Program) Mechatronics Robotics and Automation Engineering at Delft University of Technology
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
Role in this project:
QA Engineer / Test Automation Engineer
Contributions:8 reviews, 51 commits, 8 PRs in 1 year 7 months
Contributions summary:David primarily contributed to the quality assurance of the GTSAM library by adding and updating unit tests. The commits focused on creating tests for new functionalities, such as the `PoseToPointFactor` and the `OrientedPlane3Factor`, ensuring the correctness of calculations, and verifying Jacobian derivatives. The user also corrected test names and updated code to improve test coverage and reliability.
Image processing pipeline for cameras that provide RAW data
Contributions:2 reviews, 4 PRs, 7 pushes in 1 year 2 months
image-processing
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