Matthijs Brouns - Head Of Engineering at CERRIX

Matthijs Brouns

Head Of Engineering at CERRIX

Utrecht, Utrecht, Netherlands

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Summary

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Matthijs Brouns is a Head of Engineering with 11 years of experience building and scaling high-performance teams and architecting resilient SaaS platforms, currently leading engineering at CERRIX. He blends hands-on expertise in data, machine learning and software engineering with leadership roles ranging from CTO to Technical Lead and trainer, focusing on skills, tools, processes and autonomy to drive team performance. Matthijs has a strong background in ML engineering—contributing notable enhancements to the scikit-lego library that improve scikit-learn pipeline capabilities—and he designs practical data science curricula from his time at Xccelerated. A frequent speaker and community organizer (former PyData Amsterdam co-chair and PyData Global vice-chair), he actively shares knowledge across conferences and meetups. Trained in systems engineering and machine learning (Delft University of Technology and Coursera specializations), he combines academic rigor with pragmatism to turn complex problems into auditable, production-ready solutions.

11 years of coding experience

14 years of employment as a software developer

Probabilistic Graphical Models Specialization (Stanford), Probabilistic Graphical Models Specialization (Stanford) at Coursera

Natuur en Techniek, Natuur en Techniek at Gymnasium Camphusianum

Master of Science (MS) Systems Engineering Policy Analysis and Management - Information Architecture, Master of Science (MS) Systems Engineering Policy Analysis and Management - Information Architecture at Delft University of Technology

English, Dutch, Spanish

Stackoverflow

Stats

2,319reputation

163kreached

44answers

2questions

Badges

airflow

top-5%

Github Skills (14)

transformers10

testing10

scikit-learn10

machine-learning10

python10

scikit10

api-design9

airflow9

django-signals6

celery6

time-series6

javascript6

cross-validation6

django6

Programming languages (8)

TypeScriptShellJavaScriptGoHTMLJupyter NotebookF#Python

Github contributions (5)

koaning/scikit-lego

Mar 2019 - Sep 2021

Extra blocks for scikit-learn pipelines.

Role in this project:

ML Engineer / Data Scientist

Contributions:1 release, 41 reviews, 55 commits in 2 years 6 months

Contributions summary:Matthijs made significant contributions to the `scikit-lego` repository, primarily focusing on enhancing the library with new functionalities and improving its adherence to the scikit-learn API. They implemented the `EstimatorTransformer` and made modifications to existing transformers like `RandomAdder` and `RandomRegressor` to align with scikit-learn conventions. The user also added tests to ensure the compatibility and correctness of the implemented transformers and estimators, demonstrating a strong understanding of machine learning concepts and software development best practices. The work focuses on extending the capabilities of the library for scikit-learn pipelines.

pythondata-sciencemachine-learningscikit-learncommon-sense

MBrouns/pymc3

Apr 2018 - Jan 2020

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano

Contributions:8 commits, 10 pushes, 5 branches in 1 year 9 months

pythontheanomachine-learningprobabilistic-programmingbayesian-statistics

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