Summary
Sviatoslav Ponomarev is a computer vision software engineer with 10 years of hands-on R&D experience building robust image matching, synthetic data generation pipelines, and object classification systems. Trained in photonics and optical information technology at ITMO University, he blends optics and ML expertise to solve practical imaging problems—from rolling-shutter deflickering and RGB+NIR fusion to visual-inertial calibration and photorealistic synthetic dataset creation. He has contributed across academia and industry (including Huawei, VENTRA and PlanRadar), producing open datasets and tools for SLAM and neural-network training that emphasize real-world robustness. Based in Vienna, he favors engineering solutions that bridge camera physics and modern learning methods, often adding supplemental labels like optical flow and occlusion maps to boost model generalization.
10 years of coding experience
9 years of employment as a software developer
Master's degree, Photonics and Optical Information Technology, Master's degree, Photonics and Optical Information Technology at ITMO University
Russian, English, French