Maxim Novikov

Maksim Novikov is an ML Engineer at Central University, focusing on production-grade machine learning: workflow automation, MLOps pipelines, model deployment as scalable web services, and LLM-powered applications. He also teaches at the National Research Nuclear University MEPhI, where he has taught Mathematical Statistics and Neural Network Theory for several years. In addition, he contributes to the development of Central University’s Production ML course as a co-author.

Maksim began his career in microelectronics and microsystems software, working in research laboratories and testing environments. He later joined T-Bank, supporting the development of B2B products through analytics, experimentation, and data-informed product decisions.

Alongside his industry work, Maksim conducts graduate research. His PhD project at MEPhI explores GPU architecture optimisation using computer vision and reinforcement learning, while his MSc thesis at Central University investigates visual language models for Ancient Egyptian translation. Outside of work, he is an active scuba diver and a certified Divemaster.