Radoslav Neychev is a data scientist with focus on Deep Learning and Reinforcement Learning techniques. He has worked on variety of research (CERN LHCb, MIPT Machine Intelligence Lab, CC RAS) and industrial projects (Yandex, RaiffeisenBank) in different domains vary from particle identification problem to fraudulent transactions detection.

Radoslav graduated from Moscow Institute of Physics and Technology, majoring in Applied Mathematics and Machine Learning. Radoslav is reading lectures and organising practical classes at Russian top-tier universities, tech companies and summer schools.

Vladislav Goncharenko is a machine learning engineer specializing in modern Computer Vision, Deep Learning and Recommender Systems fields. He develops a recommender system of Dzen with 30 mln DAU and 10k RPS. Previously he led the Perception team at a self-driving trucks startup where he developed neural networks for object detection, segmentation and tracking on multivariate data such as images and Lidar clouds. His academic studies include a brain signals classification system based on EEG for mind-controlled VR games.

Iurii Efimov is a Research Engineer majoring in fields of modern Deep Learning and Computer Vision. His research is focused on state-of-the-art deep learning methods for 2D and 3D signal processing. Also, Iurii is a member of the core team working on 3D reconstruction algorithms at Artec 3D Lux. He has contributed to innovative AI features of latest Artec 3D software and hardware products. His academic studies and former industry experience are related to human biometric authentication and anti-spoofing.