Summary
Dmytro Vynnyk is a founding computer vision research engineer with nine years of experience turning AI research into production-ready systems, currently building at Bobyard in the San Francisco Bay Area. He holds a Master’s in Artificial Intelligence and has shipped neural compression and real-time simulation techniques for Unreal Engine that achieved 10× disk savings and enabled mobile liquid simulations. His work spans retrieval-augmented generation, neural hashing, text-to-3D, and TTS—delivering state-of-the-art models, fast one-second text-to-3D inference, and a 9/10 MOS TTS system deployed to cloud and mobile. As an early hire at multiple startups (including ZibraAI and Storytime) he bridges theory and engineering—transpiling lightweight networks to GPU shaders and shipping mobile PyTorch solutions. A first-generation immigrant who studied bioinformatics in Germany, he blends cross-cultural collaboration with a practical drive to assemble building blocks toward AGI while supporting Ukrainian civilians.
9 years of coding experience
3 years of employment as a software developer
High School Diploma, High School Diploma at Kharkiv Physics and Mathematics Lyceum No. 27
Bioinformatics, Bioinformatics at Technical University of Munich
Master's degree Artificial Intelligence Faculty of Computer Science and Cybernetics, Master's degree Artificial Intelligence Faculty of Computer Science and Cybernetics at Taras Shevchenko National University of Kyiv
French, English, Latin, Greek, proto-indo-european