Alexander Guschin is an Industrial Head of Machine Learning at Central University and a Fullstack ML Engineer. During his career, he worked with ML in various domains and at different scales, both as an Individual Contributor and as a DS/ML team lead. He built companion bots with LLM and Generative models, contributed to the MLOps SaaS platforms and open-source MLOps tools, including https://dvc.org and https://mlem.ai. He worked as a Machine Learning Engineering Lead at a startup centred on the application of machine learning in the industrial sector and Data Science Lead in Yandex.Go. As a teacher, he co-authored the "How to Win a Data Science Competition" curriculum at Coursera, online MLOps class at Karpov.Courses and taught classes about ML competitions and Production ML at Data Mining in Action, the largest offline open data science course in Russia, with over 500 students each year.

Dr Mikhail Rozhkov is a Technical Product Manager at Nebius.ai, where he leads the development of a full-stack AI platform for AI/ML development and MLOps. He has over eight years of experience in Data Science, Machine Learning, MLOps, and AI product management.

Mikhail earned his degree in Marketing and began learning Data Analysis and Python programming during his PhD research at The Hong Kong Polytechnic University. Over the years, he has participated in and managed multiple ML projects in roles such as Project Manager, Senior Data Scientist, and Head of Data Science. He has also authored online courses and workshops on Reproducible ML Experiments, Pipeline Automation, and MLOps, which have been completed by over 5,000 professionals since 2020.