Yegor Malyshev

Senior Software Engineer at Google DeepMind

Zurich, Zurich, Switzerland
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Summary

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Senior
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Top School
Yegor Malyshev is a Senior Software Engineer with over a decade of experience specializing in Android and audio infrastructure, currently leading Audio Infrastructure for Google DeepMind/Assistant in Zurich. He has driven scalable app and library development for top-tier products at Google, Viber, and Yandex, and led key Android libraries such as Yandex.Metrica and Yandex.Ads. Yegor blends deep system-design and coding expertise with pragmatic project leadership, shipping reliable cross-platform voice features at scale for Assistant/Gemini. Known for clean, testable architecture and a knack for re-architecting large apps, he also champions Kotlin adoption and performance-first engineering. Collected academic grounding in computer science and theoretical informatics underpins his methodical approach, and he’s comfortable operating where low-level audio systems meet consumer-facing services.
code12 years of coding experience
job12 years of employment as a software developer
bookBachelor's degree Computer Science, Bachelor's degree Computer Science at Belarusian State University, Faculty of Applied Mathematics and Computer Science
bookMaster's degree Theoretical Foundations of Informatics, Master's degree Theoretical Foundations of Informatics at Белорусский государственный технологический университет
languagesEnglish, russian (native), German
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Github Skills (35)

moshi9
nodejs9
bind9
kotlin8
react8
yandex8
annotation-processor8
android-library8
android8
sdk8
typescript8
java8
analytics7
verification7
mobile-analytics7

Programming languages (2)

JavaKotlin

Github contributions (5)

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brainail/.lingo

Oct 2017 - Apr 2021

.+:。(ノ・ω・)ノ゙ Let's speak fluently! .+:。(ノ・ω・)ノ゙
Contributions:59 commits, 8 PRs, 53 pushes in 3 years 6 months
speaklet
brainail/.everboxing

Mar 2014 - Apr 2021

Contributions:224 commits, 2 PRs, 21 pushes in 7 years 2 months
reactnodejstypescripteveryday
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Yegor Malyshev - Senior Software Engineer at Google DeepMind