Maxim Polyakov

Maxim Polyakov is a Senior Data Scientist at DataArt, where notable contributions include developing Helpdesk solutions leveraging the RAG approach and large language models such as GPT-3.5 and GPT-4, integrated with internal databases and ticketing systems. Prior experience encompasses roles as a Strong Middle Data Scientist and Data Scientist, focusing on machine learning pipelines and time-series prediction using advanced frameworks like TensorFlow and AWS infrastructure. Earlier positions include a Machine Learning Engineer at FITTIN Inc., developing algorithms for virtual shoe fitting, and roles at Sberbank as a Junior Data Scientist, where Maxim honed skills in machine learning model development and data processing. Academic credentials include a Master's and Bachelor's degree in Applied Mathematics, Informatics and Mechanics from Voronezh State University.