David Gillsjö is a Co-Founder and CTO with nine years of experience combining academic research and hands-on software engineering in computer vision, machine learning, and signal processing. He holds a PhD from Lund University’s Computer Vision and Machine Learning group, with a research stint at UC Berkeley, and has published work on neural scene understanding, 3D reconstruction, minimal solvers for SfM, and point-cloud map merging. Prior roles include signal-processing engineering at Flatfrog and applied SLAM work during a master’s thesis at the Australian Centre for Field Robotics, giving him a rare blend of product-focused development and deep theoretical expertise. As a startup CTO he now applies that background to build practical automation solutions for forestry, translating cutting-edge vision algorithms into deployable systems. Colleagues describe him as equally comfortable deriving novel estimators and shipping robust embedded software—an engineer who bridges math-heavy research and production constraints. Based in Lund, Sweden, he pairs a multidisciplinary education in applied physics, control and music with a research-driven, application-first mindset.
10 years of coding experience
4 years of employment as a software developer
Master, Applied Physics and Electrical Engineering, Master, Applied Physics and Electrical Engineering at Linköpings universitet
IT-Gymnasiet med Europaprofil
Doctor of Philosophy - PhD, Applied Mathematics, Doctor of Philosophy - PhD, Applied Mathematics at The Faculty of Engineering at Lund University
Android application for capture of Video, IMU data and Camera data useful in SLAM and Structure from Motion research. Differs between Optical Image Stabilization (OIS) and Digital Video Stabilization (DVS) and can provide OIS data if the device supports it.
Contributions:12 releases, 3 reviews, 88 commits in 2 years 4 months
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