Egor Malykh
Applied Scientist at Zalando
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolEgor Malykh is an applied scientist based in Berlin with 17 years of technical experience and a seven-year focus on data science, marrying rigorous applied mathematics with pragmatic software engineering. He writes idiomatic Python and Go, and has architected and productionized large-scale recommender systems—most notably building a movie recommender from scratch that served millions of users and led a team to maintain and improve it. At Zalando he spans the full ML lifecycle—research, design, data engineering, model implementation and evaluation—bringing e‑commerce ranking and personalization expertise. Curious and maker-minded, he pairs analytical depth with hands-on backend development and a creative off-hours interest in photography and music production.
17 years of coding experience
3 years of employment as a software developer
Bachelor, Applied Mathematics, Bachelor, Applied Mathematics at Saint Petersburg State University
Russian, English
Github Skills (133)
cms10
hugo10
gradient-descent10
python10
low-code10
data-manipulation10
integrations10
numerics10
automation10
implicit10
deep-learning10
gpu10
gpu-acceleration10
dataframes10
pandas10
Programming languages (7)
Github contributions (5)
meownoid/face-similarity-bot
Jul 2018 - Nov 2022
Contributions:22 pushes, 1 branch in 4 years 4 months
meownoid/tensorflow-rbm
Jan 2009 - Nov 2022
Contributions:59 commits, 1 PR, 27 pushes in 14 years 1 month
restrictedtensorflow
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