Summary
Aleksandr Artemenkov is a Senior Data Engineer with 10 years of experience building production-ready ML and data platforms across startups and larger tech companies, currently based in Munich. He combines applied research rigor (PhD-level data science training) with hands-on engineering—shipping streaming pipelines, forecasting frameworks, and model productization that materially cut costs and error rates. Notable wins include halving memory footprints and runtimes in production matching systems, accelerating time-to-production for dbt-based ML by over 50%, and reducing specific model costs by up to 70%. Comfortable in cross-disciplinary teams, he emphasizes maintainability and quality, and has a track record of enabling faster incident resolution through data catalog adoption and tooling. A pragmatic problem solver, he also bridges product and compliance needs, having delivered licensed reporting to support new market launches.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD Data Science, Doctor of Philosophy - PhD Data Science at Skolkovo Institute of Science and Technology
Master's degree Applied Mathematics and Physics, Master's degree Applied Mathematics and Physics at Moscow Institute of Physics and Technology (State University) (MIPT)