Summary
Sergey Naumov is a Lead Machine Learning Engineer with nine years of experience building and deploying deep learning systems, specializing in computer vision, time series forecasting, and generative models. Based in Frankfurt and educated at Saint Petersburg State University, he has driven end-to-end product delivery and MLOps adoption on corporate clusters, raising team efficiency and enabling reliable production deployments. He built a RAG-based document chatbot with robust table and image parsing, and developed diffusion and GAN models—using LoRA fine-tuning—that produced images experts judged indistinguishable from real ones over 80% of the time. Sergey combines hands-on model optimization (pruning, quantization, distillation) with practical industrial applications, from video analytics for safety to cost-saving forecasting in drilling operations. He also hires and mentors ML engineers, blending technical leadership with a knack for translating research into production-ready solutions.
9 years of coding experience
4 years of employment as a software developer
Master's degree, Mathematics and Computer Science, Master's degree, Mathematics and Computer Science at Saint Petersburg State University