Tamaz Gadaev

Tamaz Gadaev is an R&D Lead specializing in Deep Learning and Signal Processing with a strong background in Team Leadership and Consulting. He has worked on R&D projects with renowned technological companies such as Samsung and Huawei, as well as startups and research organizations. Tamaz's expertise lies in Deep Learning, Signal Processing, Computer Vision (CV), and Classical Machine Learning (ML).

Tamaz completed his Master's degree in Applied Mathematics at Moscow Institute of Physics and Technology (State University) (MIPT), after earning his Bachelor's degree in Applied Mathematics and Physics from the same institution. His academic background equips him with a solid foundation in mathematics and physics, essential for his work in the field of AI and Machine Learning.

With a rich professional history, Tamaz has held various roles including Lead ML Engineer at Jhourney, Computer Vision Research Engineer at WANNA, R&D Team Lead at Machine Intelligence Team, and Machine Learning Researcher also at Machine Intelligence Team. Additionally, he has contributed as an Assistant Engineer in the Biometric AI Team at Samsung R&D Institute & AI Center Russia, and as a Summer Research Intern at DeepPavlov.

His experience across different roles and organizations has honed his skills in leading teams, conducting research, and applying cutting-edge technologies in AI and Machine Learning. Tamaz Gadaev continues to make significant contributions to the field through his expertise in Deep Learning and Signal Processing.