Virgile Högman
Computer Vision R&D Engineer at Univrses
Stockholm, Sweden
Summary
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Senior🎓
Top SchoolVirgile Högman is a Computer Vision R&D Engineer based in Stockholm with 15 years of experience applying robotics, machine learning and real-time perception to safety-critical systems. He currently develops embedded 2D/3D perception and dynamic camera calibration for autonomous driving (Volvo and Polestar) and builds large-scale simulation pipelines to validate perception at scale. His background blends academic rigor as a long-running PhD candidate at KTH with hands-on system engineering from satellite ground-segment operations to leading software teams, giving him deep experience in reliability, real-time constraints and international collaboration. Comfortable across C++ and research prototypes, he brings a practical focus on bringing vision research into production-grade, safety-conscious deployments—an arc that began coding on a 1kB Sinclair ZX81 and now spans commercial autonomy.
14 years of coding experience
18 years of employment as a software developer
PhD Candidate, Robotics, Computer Vision, Machine Learning, PhD Candidate, Robotics, Computer Vision, Machine Learning at KTH Royal Institute of TechnologyMSc, Theoretical Computer Science, MSc, Theoretical Computer Science at Université Paul Sabatier (Toulouse III)MSc in Engineering (Civilingenjör), Computer Science, Robotics & Autonomous Systems, MSc in Engineering (Civilingenjör), Computer Science, Robotics & Autonomous Systems at Kungliga tekniska högskolan / KTH Royal Institute of Technology
French, Swedish, English, Italian, Spanish
Github Skills (65)
dockerfile10
ecosystem10
golang10
angular10
cli10
container10
typescript10
buildkit10
docker10
javascript9
oci-image9
charts9
plotly9
unpack9
visualization9
Programming languages (6)
Github contributions (5)
HeYijia/kth-rgbd
Jun 2011 - May 2015
Contributions:106 commits in 3 years 11 months
virgile-hogman/kth-rgbd
May 2016 - May 2016
Contributions:4 commits, 4 pushes, 1 branch in 1 day
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