Scientific Advisor at National Research University — Higher School of Economics
Nizhny Novgorod, Nizhny Novgorod Oblast, Russia
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Summary
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Alexander Ponomarenko is a scientific advisor and computer scientist with 11+ years applying optimization, machine learning, and metric-space search across industry and academia. Currently advising Wildberries and lecturing at HSE, he blends hands-on ML engineering with algorithmic research and a track record of scientific publications and prototypes. His experience spans recommendation and retrieval systems, large-scale receipt analytics, vector search optimization, and logistics forecasting, often turning loosely specified problems into practical systems. A PhD-level researcher who has led teams and taught advanced courses, he is comfortable explaining complex ideas through simple examples and approaching problems from unconventional angles. Notably, he has bridged theory and product in roles from MERA Labs to Workato and Huawei, shipping prototypes that translate metric-space theory into real-world search and prediction services.
11 years of coding experience
14 years of employment as a software developer
Master's degree Computational Mathematics and Cybernetics faculty, Master's degree Computational Mathematics and Cybernetics faculty at State University of Nizhni Novgorod named after N.I. Lobachevsky (UNN)
Lyceum 40
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Nizhniy Novgorod State Technical University named after R.Y. Alekseev (NSTU)
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Higher School of Economics
Contributions:12 commits, 9 pushes, 2 branches in 2 years 9 months
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Alexander Ponomarenko - Scientific Advisor at National Research University — Higher School of Economics