Luke Kreczko
Research Fellow at University of Bristol
Bristol, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolLuke Kreczko is a Research Fellow with 14 years of experience bridging particle physics analysis and distributed computing, currently based at the University of Bristol. He combines deep experimental expertise in top quark measurements with hands-on DevOps and grid middleware skills—provisioning and managing HTCondor, Hadoop/Cloudera clusters, Puppet, Docker and conda-based deployments. An experienced backend developer on the DIRAC Grid project, he focuses on code refactoring and simplifying Python-based resource and data-management logic to improve readability and maintainability. Colleagues value his analytical problem-solving, clear communication, and ability to perform under pressure in collaborative research environments. He holds a PhD in Elementary Particle Physics and has a track record of translating complex analysis requirements into robust, reproducible computing workflows. Notably, his early work includes building remote-control Java tools for lab experiments, reflecting a long-standing interest in practical software solutions for scientific research.
14 years of coding experience
11 years of employment as a software developer
Diploma, Physics, Diploma, Physics at University of HamburgAbitur, Physics, Mathematics, Abitur, Physics, Mathematics at Bismarckschule ElmshornDoctor of Philosophy (PhD), Elementary Particle Physics, Doctor of Philosophy (PhD), Elementary Particle Physics at University of Bristol
Polish, German, English
Github Skills (8)
refactoring10
python10
back-end-development10
distributed-computing10
workflow-management8
grids8
grid8
resource-management8
Programming languages (13)
Github contributions (5)
DIRACGrid/DIRAC
Nov 2022 - Nov 2022
DIRAC Grid
Role in this project:
Back-end Developer
Back-end DeveloperContributions:7 commits, 2 PRs in 3 days
Contributions summary:Luke primarily focused on code refactoring and simplification within the DIRAC grid project. Their contributions included replacing outdated Python syntax, simplifying conditional statements, and optimizing code for improved readability. These changes were applied across various modules, including those related to resource management, configuration, and data management, suggesting a focus on backend logic and code quality. The user also modified the code for accessing data and transformation of it.
griddiracdistributed-computinginterwareworkflow-management
kreczko/cvmfs-singularity-sync
Jul 2018 - Jan 2025
Scripts to synchronize Singularity images to a CVMFS repository.
Contributions:3 pushes, 4 branches in 6 years 7 months
cvmfssingularitysingularity-imagessynchronize
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