Oksana Shadura
Project Lead at CERN
Geneva, Geneva, Switzerland
Summary
🤩
Rockstar🎓
Top SchoolOksana Shadura is a project lead and seasoned software engineer with 11 years of experience building scalable, cloud-native infrastructure and high-performance data systems at CERN. She blends hands-on C++ and Python development—particularly in I/O and compression for the ROOT data analysis framework—with DevOps leadership designing Kubernetes, GitOps and observability-driven analytics platforms. Her contributions to ROOT include integrating LZ4 and enabling ZSTD compression, extending build tooling and benchmarking to improve storage and performance for large scientific datasets. With a PhD in System Design and a background running HPC clusters and private clouds, she bridges research-grade simulation needs and production-grade orchestration. Based in Geneva, she combines deep domain expertise in high-energy physics software with practical security and reliability experience from earlier roles. Colleagues rely on her to turn complex performance problems into reproducible, deployable solutions.
11 years of coding experience
3 years of employment as a software developer
Igor Sikorsky Kyiv Polytechnic Institute
English, French, Italian, Russian, Ukrainian
Stackoverflow
1reputation
0reached
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Github Skills (10)
lz410
compression10
c-language10
cprogramming-language10
compress10
data-analysis10
cmake9
data-storage9
machine-learning5
statistics5
Programming languages (14)
Github contributions (5)
root-project/root
Jun 2017 - Oct 2021
The official repository for ROOT: analyzing, storing and visualizing big data, scientifically
Role in this project:
Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:225 reviews, 335 commits, 418 PRs in 4 years 4 months
Contributions summary:Oksana's commits primarily focus on integrating the LZ4 compression algorithm into the ROOT project's data analysis and storage features. They added LZ4 support to the `hadd` utility and addressed related build and dependency issues. The user also extended CMake modules to include xxhash, which is needed for LZ4 checksum functionality, and contributed to the Google benchmark by adding more use cases. They also worked on enabling ZSTD as a default compression algorithm.
pythonroot-cernmathematicsc-plus-plusscientific-visualization
CoffeaTeam/docker-coffea-base
Nov 2020 - Jul 2022
Base Docker image for Coffea
Contributions:26 reviews, 38 commits, 57 PRs in 1 year 7 months
docker-base-imagedocker-imagedockercoffea
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