Peter Kroon

System Administrator

Groningen, Groningen, Netherlands
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Summary

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Senior
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Top School
Peter Kroon is a systems administrator and former computational chemistry researcher with 10 years of technical experience, blending high-performance scientific computing and production IT operations. He holds a PhD from the University of Groningen where he automated large-scale coarse-grained molecular dynamics workflows and built open-source Python tooling used in published JACS research. An excellent Python programmer and experienced instructor, he has taught university-level Python and contributed quality-focused test automation to the widely used Hypothesis property-based testing project. His strengths span data analysis, clustering, graph theory, and numerical optimization, applied both to research problems and to robust infrastructure. Based in Groningen, he brings a critical, independent mindset and a track record of turning complex scientific methods into reliable, reproducible software.
code10 years of coding experience
bookMaster of Science - MS, Organic Chemistry, Master of Science - MS, Organic Chemistry at Rijksuniversiteit Groningen
bookBachelor of Science - BS, Chemistry, Bachelor of Science - BS, Chemistry at University of Groningen
languagesDutch, English
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Github Skills (5)

property-based-testing10
pytest10
python10
testing10
fuzzing8

Programming languages (11)

SmartyC#CSSC++JinjaCRustJavaScript

Github contributions (5)

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HypothesisWorks/hypothesis

Oct 2019 - Oct 2019

The property-based testing library for Python
Role in this project:
userQA Engineer / Test Automation Engineer
Contributions:6 commits, 3 PRs, 35 comments in 6 days
Contributions summary:Peter's commits primarily focused on improving the testing infrastructure and ensuring the quality of the Hypothesis library. They addressed bugs related to database interactions, specifically related to directory creation and parametrized tests. The contributions involved modifying existing tests and adding new tests to improve code coverage and reliability. The changes suggest a strong understanding of testing methodologies and their application to this specific property-based testing library.
property-based-testingpythonincrementaltestingfuzzing
pckroon/symfit

Oct 2015 - Jan 2023

Contributions:3 PRs, 259 pushes, 54 branches in 7 years 4 months
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