Summary
Andrey Naumov is a data scientist and AI research engineer with over a decade of experience building data warehouses, leading data and system-analysis teams, and delivering production ML/LLM solutions at major enterprises like Sberbank, Yandex, Huawei and Rostelecom. He combines hands-on data engineering (data lakes, near-realtime reporting, DWH) with R&D in LLM integration and fine-tuning to extract tangible business value across finance, telecom and logistics domains. As a former Head of AI and executive leader, he has overseen cross-functional teams deploying open-source models into product workflows and operationalizing model-driven features. His background in automation and large-scale IoT/predictive systems gives him a practical edge when moving AI from prototype to reliable production. Despite a crisp "Data Geek" GitHub persona, his career shows a rare mix of low-level systems experience and strategic AI productization.
10 years of coding experience
15 years of employment as a software developer
Master's degree, Automation of Technological processes, Master's degree, Automation of Technological processes at Moscow Power Engineering Institute (Technical University)
Английский