Daniel Tkachenko
Head Of Machine Learning At Lavka at Yandex
Belgrade, Central Serbia
Summary
👤
Senior🎓
Top SchoolDaniel Tkachenko is Head of Machine Learning at Yandex Lavka, leading four major ML directions and a ~30-engineer organization that builds high-impact systems across recommendations, search, forecasting and generative assistants. With 12 years of experience rooted in backend C++ engineering and an M.Sc. in Mathematics from MSU, he combines deep system design sensibilities with product-focused ML leadership to drive double-digit GMV growth via personalized ranking and search. He architected Lavka’s ranking stack and multilingual personalized search—now responsible for over half the business’s revenue—and led development of an in-app assistant based on YaGPT 5. A longtime recommender-systems practitioner and lecturer at Yandex School of Data Analysis, he cultivates bottom-up decision making and pragmatic experimentation to turn models into measurable business value. Though not actively looking, he welcomes conversations about scaling applied AI, recsys, and ML organization leadership.
12 years of coding experience
3 years of employment as a software developer
Lomonosov Moscow State University
Russian, English, Ukrainian, Japanese, Hebrew
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (9)
twitter8
facebook8
kanji5
intersystems2
ios2
intersystems-cache1
intersystems-ensemble1
intersystems-iris1
cli1
Programming languages (3)
Github contributions (5)
deadpadre/mechmathchan
Apr 2014 - Mar 2015
Contributions:13 commits, 2 pushes, 2 branches in 11 months
deadpadre/FieldArithmetics
Jan 2016 - Aug 2017
Contributions:2 pushes, 1 branch in 1 year 6 months
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