Alex Triapitsyn is a Senior Software Engineer based in Amsterdam with 7 years of hands-on experience building large-scale ML and search systems for e-commerce and marketplace products. He led teams at Yandex that boosted product matching recall by 20% and improved search-driven purchases and GMV through scalable ML pipelines operating on billions of offers and tens of millions of SKUs. Comfortable across C++, Python, PyTorch, CatBoost and MapReduce-style big data stacks, he focuses on metric learning, clusterization, and NLP for production-grade services. Now at Nebius, he continues to craft scalable ML solutions for business while drawing on a strong applied mathematics background (HSE, GPA 9.25) and an early track record of award-winning chatbot projects. Notably, he pairs deep engineering with practical product impact—combining algorithmic breakthroughs with team leadership and measurable business outcomes.
7 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Applied Mathematics and Computer Science, Current GPA: 9.25, Bachelor's degree, Applied Mathematics and Computer Science, Current GPA: 9.25 at Higher School of Economics
Here you can see code I and my friend wrote for Yandex's Alice chatbot project. We won a 2nd prize in chatbot's competition among about 1500 participants
Contributions:324 pushes in 1 year 6 months
prizeyandexaliceparticipantsfriend
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Alex Triapitsyn - Senior Software Engineer at Nebius