Buster Styren
Software Engineer at EQT Group
Stockholm County, Sweden
Summary
👤
Senior🎓
Top SchoolBuster Styren is a Stockholm-based software engineer with 12 years of experience building and leading engineering teams across startups and large organizations, currently at EQT Group. He blends hands-on development with technical leadership from stints as co-founder of symbiosis and engineering manager roles at Kry and Utopia Music, consistently shipping data-driven and cloud-native systems. A pragmatic contributor to open-source ML tooling, he added unsupervised-learning flexibility and robust testing to the well-regarded online-ml/river library, reflecting a focus on reliable online learning. Known for vim proficiency and a subtle taste for tooling, he pairs deep engineering craft with a track record of turning prototypes into production-ready services.
12 years of coding experience
8 years of employment as a software developer
Civilingenjörsexamen Datateknik, Civilingenjörsexamen Datateknik at KTH Royal Institute of Technology
Stackoverflow
3reputation
0reached
0answers
0questions
Github Skills (13)
incremental-learning10
machine-learning10
pytest10
pipelining10
python10
pipe10
pipeline10
elearning10
data-science9
scikit-learn9
scikit9
drift8
streaming8
Programming languages (10)
Github contributions (5)
online-ml/river
Dec 2020 - Mar 2021
🌊 Online machine learning in Python
Role in this project:
ML Engineer
ML EngineerContributions:6 commits, 3 PRs, 2 comments in 2 months
Contributions summary:Buster primarily contributed to the `river` project by adding functionality related to unsupervised learning within the online machine learning pipeline. Their commits introduced a "no_learn" parameter to the pipeline's prediction functions, allowing for the selective disabling of model updates during prediction. Additionally, the user added tests to verify the correct updating behavior of scalers within the pipeline, demonstrating a focus on ensuring the robustness of the online learning components. These changes enhance the flexibility and testing of the library.
stream-processingpythonstreaming-datadata-scienceonline-statistics
symbiosis-cloud/symbiosis-docs
Feb 2022 - Oct 2022
Docs for Symbiosis Cloud 💼 https://docs.symbiosis.host
Contributions:18 reviews, 9 PRs, 34 pushes in 8 months
cloudkubernetessymbiosishost
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