Fedor Ihnatkevich
Software Developer at JetBrains
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolFedor Ihnatkevich is a Berlin-based software developer with nine years of experience specializing in Chromium-based cross-platform Android engineering and developer-facing tooling. He has led Android platform work at Yandex—driving build system integrations, large-scale refactors, CI and release automation—and now contributes to JetBrains' Amper team. Fedor combines deep compiler and build expertise (notably contributions to Google’s KSP and Gradle) with hands-on work on complex codebases and performance optimizations. He’s maintained open-source projects like Yatagan and fixed subtle Kotlin compiler/plugin issues, showing fluency in compiler internals and API design. Colleagues rely on him for upstream Chromium merges, build-time tuning, and pragmatic automation that reduces long-term maintenance cost.
9 years of coding experience
7 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Belarusian State University
English, German, Russian
Stackoverflow
969reputation
67kreached
8answers
1question
android-jetpack-compose
top-5%
Github Skills (17)
kotlin10
api-design10
compiler-design10
unit-testing9
java9
android-jetpack-compose9
javas9
github-repos8
git-repository8
kapt6
javac6
annotation-processor6
android6
gradle6
annotation-processing6
Programming languages (8)
Github contributions (5)
google/ksp
Dec 2021 - Jul 2022
Kotlin Symbol Processing API
Role in this project:
Backend Developer
Backend DeveloperContributions:8 reviews, 14 commits, 7 PRs in 6 months
Contributions summary:Fedor primarily contributed to the Kotlin Symbol Processing API, focusing on the compiler plugin. Their work involved addressing several issues related to the accurate determination of abstract functions, `const` and `lateinit` modifiers, and handling Java raw types within the KSP framework. The user also fixed issues with assignability checks for function types and ensured the correct functioning of descriptor-based implementations. These changes demonstrate a deep understanding of the Kotlin compiler internals and API design.
kotlin-symbol-processing
yandex/yatagan
Sep 2021 - Mar 2023
Dependency Injection framework based on Google's Dagger2 API, optimized for fast builds and for managing large graphs with optional dependencies
Contributions:10 releases, 76 reviews, 463 commits in 1 year 5 months
daggerdependency-injectionandroidkaptkotlin
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