Summary
Viacheslav Patcera is a Machine Learning Engineer with 11 years of experience applying data science and ML to product and business problems, grounded in a Master's in Computational Physics. He has a strong track record of productionizing ML pipelines, from feature stores and automated model training to model tracking and monitoring with MLflow, across GCP and Yandex Cloud environments. At Oskelly he improved recommendations and forecasting for operational planning, while at SegmentStream and SEMrush he automated mass model training, optimized marketing budget allocation, and cut BigQuery costs through engineering and analytics. He blends research-style rigor with pragmatic engineering—comfortable with time-series forecasting, survival analysis, XGBoost/BPR recsys, and deployment tooling like Docker, Dagster, and CI/CD. Colleagues rely on him to turn exploratory analytics into repeatable, monitored ML features that influence product and go-to-market decisions. Based in Russia, he consistently focuses on measurable business impact rather than only novel algorithms.
11 years of coding experience
7 years of employment as a software developer
Masters Degree Computational Physics, Masters Degree Computational Physics at Saint Petersburg State University
Русский, Английский