Artem Solomatin is a Senior Data Scientist based in Moscow with 10 years of experience building production ML systems and recommendation engines across e-commerce and social platforms. He has driven measurable product impact—boosting GMV and multi-orders at Yandex.Market and increasing recall and timespent through feed and ranking improvements at VK and Sberbank. His work spans the full ML lifecycle from data sourcing and SQL pipelines to model deployment and fallback strategies, and he has hands-on experience with NLP tasks including NER and resume parsing that quintupled throughput and improved extraction precision. Artem pairs strong engineering background (early career as a Java developer working with REST, ELK and Oracle) with applied physics and mathematics training from MIPT, which informs a quantitative and systems-minded approach. Currently leading data science at ecom.tech, he specializes in embedding-based diversity algorithms and resilient production fallbacks—practical solutions that keep recommendations robust under real-world failures. Colleagues would note his blend of product-focused experimentation and production rigor, often turning modest model gains into clear business value.
10 years of coding experience
8 years of employment as a software developer
Master's degree Applied physics and mathematics, Master's degree Applied physics and mathematics at Moscow Institute of Physics and Technology (State University) (MIPT)
Contributions:15 pushes, 1 branch in 1 year 9 months
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