Denys Korzh is a Senior Software Engineer with 11 years of experience specializing in computer vision, 3D reconstruction, photogrammetry and medical imaging, primarily using C++ and high-performance computing techniques. His background in theoretical physics and a Master's in Computational Science give him strong analytical rigor, which he applies to building robust pose estimation, bundle adjustment and segmentation systems for companies like Johnson & Johnson, Brainlab and Siemens. He has hands-on experience accelerating numerical code on GPUs (CUDA), optimizing MPI and parallel workflows, and prototyping vision algorithms in Python for rapid research-to-product iteration. A pragmatic automator, Denys focuses on end-to-end solutions that move complex research algorithms into production-grade tooling for clinical and industrial use. Based in the Munich area, he combines deep domain expertise with a taste for tackling numerically challenging problems that few software engineers choose to address.
11 years of coding experience
8 years of employment as a software developer
Master's degree, Computational Science and Engineering, Average grade right now is 1.8 in German system., Master's degree, Computational Science and Engineering, Average grade right now is 1.8 in German system. at Technical University Munich
Bachelor's degree, Physics, Solid State Optics, Grade - 87 from 100, Bachelor's degree, Physics, Solid State Optics, Grade - 87 from 100 at Kyiv National Taras Shevchenko University
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Denys Korzh - Senior Software Engineer C at Johnson & Johnson