Radoslav is Data Scientist with focus on Deep Learning and Reinforcement Learning techniques. He has worked on a 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.
- Machine Learning course, MIPT (
- Data Science course, HSE
Deep Learning in Applicationscourses at Harbour.Space University, Barcelona
Natural Language Processing courseat made – Mail.ru Big Data Academy
BigData Team ML course
- Variety of onsite ML and DL courses in Russian tech companies (e.g. Sberbank, Megafon)
- CDO track instructor at
- DL instructor at
Yessenov Data Lab 2019
- Consultant in online course “Dynamic Neural Networks in PyTorch” (Packt Publishing)
Trains neural nets for
VR games with BCI control. Previously worked on Computer Vision problems at MIPT.
ML Developer at Yandex currently working on machine translation quality. Previously did research on multimodal neural architectures for computer vision.
MIPT. Research Engineer at Samsung Research Russia.
MIPT, YSDA. Research Scientist at Samsung AI Center
Ex. Yandex.Search, also worked on self-driving cars at
Lyft Level 5
Anastasia takes part in creating online and offline educational ML courses:
- Coursera NLP specialisation
- Stepik online course “Deep Learning in NLP”
Deep Learning in ApplicationsHarbour.Space University, Barcelona
- Online course “Dynamic Neural Networks in PyTorch” (Packt Publishing)
MIPT, Yandex, STAI.
Ivan does research at Yandex with the main focuses on Deep Learning, Natural Language Processing and Uncertainty Estimation. Also he solves industrial machine learning problems at Steinbeis STAI and teaches at MIPT and YSDA. Previously he did research and industrial projects in machine translation, recommendation systems and physical particles detection.
Data Scientist at Skoltech; numerical analysis researcher. Previously worked at Huawei on problem of real-world adversarial attacks on face recognition systems.
MIPT, Skoltech. Researcher at Skoltech.
Ex. Data Scientist at Diginetica, worked with Recommender Systems and implement their for retail companies. Also Nikita takes part in education project of machine and deep learning (e.g. DL School)