Summary
Yehor Molochynskyi is Head of Computer Vision at DeepX with 11 years of engineering experience and a strong academic foundation in mathematics (B.S./M.S., currently PhD studies). He combines deep-learning expertise in vision (CNNs, YOLO/SSD, UNet), classical image processing and 3D reconstruction with extensive hands-on experience in Python, C++, TensorFlow and PyTorch to move research into production. His background spans supervised and unsupervised ML, reinforcement learning, numerical methods and high-performance computing (MPI/CUDA on SKIT-5), and includes Samsung R&D practicums on adversarial ML and security-focused CTF work. Comfortable across algorithms, optimization and embedded systems, he’s equally at home tuning XGBoost models as implementing depth/motion estimation pipelines for real-world applications. Notably, his profile reflects a rare blend of mathematical rigor and applied CV leadership, driving R&D to product at a startup scale from Kyiv.
11 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Mathematics, Doctor of Philosophy - PhD, Mathematics at Taras Shevchenko National University of Kyiv