Alexander Bogushov is a seasoned engineering leader with 10+ years building cloud-native and distributed systems, currently heading a generative AI lab at НЛМК ИТ and teaching big data and project management at South Ural State University. He combines hands-on architecture and data engineering experience—from Postgres-backed services and computer vision to Kubernetes, Apache Ray and Iceberg—with recent production work in GenAI stacks like vLLM, Langflow and Qdrant. As former CTO at Napoleon IT he led retail-scale projects, reduced technical debt and ran cross-project technical clusters, while earlier roles sharpened his backend and BI skills in Python and Java. Alexander’s profile blends academic mentorship with pragmatic delivery, and he often bridges research and production—supervising theses while shipping enterprise-grade systems. Based in Chelyabinsk Oblast, he brings a mathematician’s rigor to system design and a curious focus on modern DBMS and distributed compute trade-offs.
10 years of coding experience
16 years of employment as a software developer
Специалист, Математик, Системный программист, Специалист, Математик, Системный программист at South Ural State University (SUSU)
Contributions:9 releases, 47 commits, 4 PRs in 3 years 8 months
pythonasynciomongomotormongodb
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Alexander Bogushov - Руководитель Проекта at НЛМК ИТ