Top expert inAutonomous Robotics and Simulation Technology
Kristian Lauszus is a Principal Software Engineer and electrical engineer with 14 years’ experience designing embedded control systems, firmware and low-voltage electronics, currently leading software for flying boats at Candela. He combines hands-on embedded development (Arduino cores, Kalman filters, PCAN interfaces) with full-stack and DevOps work on cross-platform UI frameworks like Kivy and Android apps. Kristian has founded and led hardware startups, shipped flight-grade navigation and guidance systems, and personally wrote the control, UI and electrical software stack for production vehicles. His open-source contributions span practical device support and tooling—improving Arduino cores, real-time graphing on Android, and Raspberry Pi wheel builds—demonstrating attention to cross-platform compatibility and CI. Colleagues describe him as an engineer who moves effortlessly between low-level device interrupts and user-facing applications, and who deliberately bridges R&D prototypes to robust products. Outside work he pursues applied control challenges—recently turning that expertise toward electrically powered hydrofoil craft.
14 years of coding experience
10 years of employment as a software developer
5th semester of my bachelor's degree, Electrical and Electronics Engineering, Dean's List, 5th semester of my bachelor's degree, Electrical and Electronics Engineering, Dean's List at San Francisco State University
HTX, Mathematics A, Physics A, Chemistry A, Electronics A, Danish A, HTX, Mathematics A, Physics A, Chemistry A, Electronics A, Danish A at Uddannelsescenter Holstebro
This is a Kalman filter used to calculate the angle, rate and bias from from the input of an accelerometer/magnetometer and a gyroscope.
Role in this project:
Embedded Systems Engineer / IoT Developer
Contributions:38 commits, 3 PRs, 9 pushes in 4 years 7 months
Contributions summary:Kristian primarily contributed to the example code for a Kalman filter implementation within an Arduino environment. Their contributions included modifying and updating the example code, improving I2C communication, and adding functionality to read variance values. The user also addressed code formatting and made several bug fixes, including an important one in the Kalman filter calculation, demonstrating a focus on the practical implementation of sensor fusion and data filtering techniques.
Contributions:21 releases, 119 commits, 7 PRs in 4 years 4 months
Contributions summary:Kristian focused on building an Android application for face recognition. Their contributions involved implementing live camera feed functionality, adding features to save images, and improving the user interface. They also integrated OpenCV and Eigenfaces/Fisherfaces for image processing and face recognition algorithms and handled camera and storage permissions.
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Kristian Lauszus - Principal Software Engineer at Lauszus Consulting