Stanislav Smirnov is a Senior Data Scientist based in Cologne with nine years of experience applying ML and data engineering to payments optimisation, routing and orchestration in e-commerce. He has driven end-to-end projects from research to production at Cleverbridge, including the CleverAutomations product and a Dynamic Retries system that improved retry success by 25–50%. With a background in signal processing (M.Sc.) and early careers in RF/network optimisation, he blends rigorous modeling skills with practical cloud-native engineering using Azure, AWS SageMaker, Databricks and Airflow. Stanislav moves fluidly between building scalable data warehouses, production microservices and ML workflows, and often leads small cross-functional teams to turn POCs into revenue-driving products. A detail that sets him apart: his academic work in signal and image processing informs feature engineering approaches that squeeze extra predictive power from noisy transaction and network data.
8 years of coding experience
10 years of employment as a software developer
Master of Science (M.Sc.) Electrical system engineering (Signal and Information Processing), Master of Science (M.Sc.) Electrical system engineering (Signal and Information Processing) at Paderborn University
Master of Science (M.Sc.) Telecommunication, Master of Science (M.Sc.) Telecommunication at Ufa State Aviation Technical University
Production related topics: APIs, Unit testing etc.
Contributions:5 PRs, 20 pushes, 5 branches in 2 years 2 months
apitestingunitproductionunit-testing
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