Gijs Koning is a software engineer with 10 years of experience building robotics and ML systems, currently working in stealth after recent roles at Corbotics and a research internship at comma.ai. He specializes in GNSS-based localization, Kalman filtering, and real-time 3D vision and object-detection pipelines, with production-grade contributions to comma.ai’s laika and openpilot projects that run on thousands of vehicles. Comfortable across backend, MLOps and embedded robotics stacks, he has practical experience deploying optimized inference and streamlining simulation and container tooling. A Delft AI master’s graduate and former president of the Robotics Student Association, Gijs blends academic rigor with hands-on system engineering and an uncommon focus on bringing echocardiography-inspired sensing ideas into robotics.
10 years of coding experience
5 years of employment as a software developer
Master's degree Computer Science Artificial Intelligence, Master's degree Computer Science Artificial Intelligence at Delft University of Technology
Contributions:6 reviews, 45 commits, 56 PRs in 2 months
Contributions summary:Gijs primarily contributed to the `laika` Python library, which is focused on GNSS processing. Their work involved refactoring and enhancing the library's core functionalities, specifically related to reading and processing GNSS measurements from various sources (QCOM, Ublox, and RINEX). They also implemented features for handling ephemeris data, including parsing, and optimizing the processing of orbit information. Furthermore, the user addressed bugs and made general improvements to improve efficiency and functionality.
openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 300+ supported cars.
Role in this project:
Back-end Developer & MLOps Engineer
Contributions:35 reviews, 79 commits, 87 PRs in 4 months
Contributions summary:Gijs contributed to the refactoring of vision streams, renaming and aligning them with existing YUV streams. They also made modifications to the Carla simulation environment, specifically enhancing the installation process for Docker and Nvidia-Docker. Furthermore, they focused on improving logging and exception handling, enhancing the overall stability and debugging capabilities within the system. Finally, they worked on laikad (locationd), integrating a Kalman filter and fetching orbits, highlighting skills in GNSS data processing and filtering.
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Gijs Koning - Building In Stealth at Stealth Startup