Maciej Procyk
Software Developer (Kotlin Multiplatform Tooling)
Lower Silesian Voivodeship, Poland
Summary
🤩
Rockstar🎓
Top SchoolMaciej Procyk is a Kotlin-focused software developer with nine years of hands-on experience, currently working on Kotlin Multiplatform tooling at JetBrains. He combines a strong academic background (Master’s in Computer Science with top grades) with practical IDE and plugin development, having progressed from multiple internships to a full-time role contributing to Fleet and AppCode. Maciej also contributes to open-source machine learning tooling in Kotlin—adding Conv1D/Conv3D layers and activation functions to the KotlinDL project—demonstrating both systems-level intuition and ML familiarity. He prefers abstract problem-solving but prioritizes shipping pragmatic solutions quickly, and has taught object-oriented programming at the University of Warsaw, reflecting an ability to explain complex concepts. Based in Lower Silesia, Poland, he’s driven to push Kotlin and multiplatform developer experiences forward while bridging IDE UX and core tooling.
9 years of coding experience
2 years of employment as a software developer
scholar, Physics, scholar, Physics at Krajowy Fundusz na rzecz DzieciMaster's degree, Computer Science, 4.88/5.00, Master's degree, Computer Science, 4.88/5.00 at Uniwersytet WarszawskiSecondary education, Mathematical, physical and computer science class, Secondary education, Mathematical, physical and computer science class at ZS UMK Gimnazjum i Liceum Akademickie
Stackoverflow
141reputation
415reached
1answer
2questions
Github Skills (15)
kotlin10
neural-network10
machine-learning10
activation-function10
convolutional-neural-networks10
tensorflow10
deep-learning10
gpu9
memory-management6
hibernate6
jboss6
linux6
malloc6
ejb6
java6
Programming languages (10)
Github contributions (5)
Kotlin/kotlindl
May 2021 - Jun 2021
High-level Deep Learning Framework written in Kotlin and inspired by Keras
Role in this project:
ML Engineer
ML EngineerContributions:47 reviews, 5 commits, 11 PRs in 27 days
Contributions summary:Maciej primarily contributed to the development of the Kotlin Deep Learning framework, specifically focusing on implementing and testing new activation layers like ELU and ReLU, and adding Conv1D and Conv3D layers. They refactored existing code, fixed bugs, and added model loading and saving functionality for the Conv1D and Conv3D layers. Their work involved substantial changes to core components, demonstrating a deep understanding of the framework's architecture and its machine learning concepts.
gpudeep-learninghigh-levelmachine-learningkotlin
avan1235/KotlinDL
May 2021 - Oct 2021
High-level Deep Learning Framework written in Kotlin and inspired by Keras
Contributions:4 PRs, 113 pushes, 20 branches in 5 months
caffe2deep-learninghigh-levelmachine-learningkotlin
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.