Victor Prun is a System Architect with 10 years of hands-on experience designing and optimizing computer vision systems for ADAS, autonomous vehicles, and unmanned agriculture at Cognitive Technologies Group. He leads development of an in-house framework that accelerates ADAS software, solving algorithmic, mathematical and architectural challenges while mentoring teams and shaping coding standards. A postgraduate and tutor at MIPT working toward a Ph.D., his research spans computer vision, image processing and computed tomography reconstruction—where he has published and implemented fast SIRT variants. Victor blends low-level sensor integration (cameras, IMU, lidar, radar) and performance engineering—evidenced by a 3x speedup of core processing loops and threaded model-serving improvements—to take prototypes into field-ready systems. Comfortable presenting to investors and government bodies in both Russian and English, he pairs rigorous academic training with practical deployments and on-site debugging under real-world constraints.
10 years of coding experience
4 years of employment as a software developer
Postgraduate, Postgraduate at Moscow Institute of Physics and Technology (State University) (MIPT)
Contributions:5 PRs, 20 pushes, 6 branches in 6 years 1 month
technologiesvisioncameracomputer-visioncognitive
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Victor Prun - System Architect at Cognitive Technologies Group