Vladimiros Sterzentsenko
Computer Vision Engineer at Snap Inc.
Thessaloniki, Macedonia and Thrace, Austria
Summary
👤
Senior🎓
Top SchoolVladimiros Sterzentsenko is a computer vision engineer with nine years of experience building 3D imaging and performance-capture systems for research and industry. Trained as an electrical and electronics engineer at Aristotle University of Thessaloniki, he began his work on human-robot interaction and object learning during his diploma thesis and continued as a research assistant at the Information Technologies Institute. He has since moved into applied research and product engineering roles at Soar, Moverse, and now Snap Inc., translating academic prototypes into scalable vision pipelines. Vladimiros combines a strong foundational understanding of robotics and perception with hands-on experience in multi-view 3D capture, making him comfortable across the research-to-production gap. A detail that often surprises collaborators is his early focus on oral-command and gesture-driven interfaces, which informs his user-aware approach to vision systems.
9 years of coding experience
7 years of employment as a software developer
Master's degree, Electrical and Electronics Engineering, Master's degree, Electrical and Electronics Engineering at Aristotle University of Thessaloniki (AUTH)
Github Skills (60)
camera-api10
intrinsics10
intel10
human-computer-interaction10
depth-camera10
hardware10
payment-methods10
camera10
sdk10
realsense10
in-app-purchase10
motion-capture10
computer-vision10
lidar10
stereo10
Programming languages (5)
Github contributions (5)
VCL3D/VolumetricCapture
May 2018 - Oct 2020
A multi-sensor capture system for free viewpoint video.
Contributions:2 releases, 78 commits, 67 pushes in 2 years 5 months
multi-sensorstereocamerahuman-computer-interactionintrinsics
vladsterz/build_tools_manager
Jul 2020 - Oct 2020
Contributions:4 pushes, 1 branch in 2 months
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