Grzegorz Mrukwa
Director Of Engineering at Restaurant365
Suszec, Silesian Voivodeship, Poland
Summary
👤
Senior🎓
Top SchoolGrzegorz Mrukwa is a senior engineering manager and AI PhD who blends hands-on machine learning expertise with strategic leadership across finance and data science initiatives. Over 11 years he rose from Senior ML Engineer to Engineering Consulting Director at Netguru, launching company-wide programs like the Pitching Tribe that embedded proactive sales into the delivery process and drove 239% team revenue growth from 2020–2022. He has a track record of scaling teams and processes to shorten time-to-fill roles and bringing multiple data offerings to market, and now leads ML engineering at Clari. A pragmatic researcher-turned-manager, he contributes to open-source tooling (e.g., improving picklability in the Gin config framework) and applies academic rigor from his PhD to practical, value-oriented solutions. Based in Suszec, Poland, he seeks opportunities that combine entrepreneurial thinking with measurable business impact.
11 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD Applied Integrative Data Analysis, Doctor of Philosophy - PhD Applied Integrative Data Analysis at The Silesian University of Technology
Stackoverflow
31reputation
13kreached
1answer
1question
Github Skills (14)
configuration-management10
python10
pickle10
testing10
docker-machine6
docker6
machine-learning6
macos6
kmeans6
correlation6
validation6
cluster-analysis6
nfs6
tensorflow4
Programming languages (11)
Github contributions (5)
google/gin-config
Jan 2020 - Nov 2020
Gin provides a lightweight configuration framework for Python
Role in this project:
Back-end Developer & QA Engineer
Back-end Developer & QA EngineerContributions:6 reviews, 5 commits, 2 PRs in 9 months
Contributions summary:Grzegorz focused on enhancing the picklability of configurable objects within the Gin configuration framework. They added tests to verify the pickling behavior of configurable classes, including those with and without metaclasses and `__new__` methods. Furthermore, the user fixed a redundant import statement and refined code based on review comments, improving the robustness and reliability of the configuration system.
pythonconfiguration-managementtensorflowtensorflow-experiments
spectre-team/spectre-upload
Jan 2018 - Feb 2018
Contributions:2 releases, 18 PRs, 68 pushes in 1 month
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