Dan Arlowski
Senior DevOps Engineer at Palo Alto Networks
Israel
Summary
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Rockstar🎓
Top SchoolDan Arlowski is a Senior DevOps Engineer based in Tel Aviv with six years of hands-on experience building and scaling cloud-native infrastructure across startups and enterprise environments. Currently at Palo Alto Networks after leading DevOps at Sosivio and contributing to ML validation tooling at Deepchecks, he blends pragmatic automation with a strong focus on continuous validation for ML pipelines. His background includes consultancy roles at Red Hat and early systems work in the Israeli Air Force, giving him deep operational rigor and security-aware practices. An active open-source contributor, he implemented mixed-type integrity checks for Deepchecks’ mlchecks library, demonstrating an eye for data/model reliability beyond typical infra work. Studying for a B.Sc. in Computer Science at the Open University of Israel, he pairs ongoing formal learning with real-world delivery and a collaborative, team-first approach.
6 years of coding experience
7 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at The Open University of Israel
Hebrew, English
Github Skills (6)
machine-learning10
python10
data-science9
pytorch7
jupyter-notebook6
html4
Programming languages (12)
Github contributions (5)
deepchecks/deepchecks
Oct 2021 - Jun 2022
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
Role in this project:
ML Engineer
ML EngineerContributions:1 review, 27 commits, 6 PRs in 7 months
Contributions summary:Dan's commits indicate a focus on enhancing the functionality and testing of the `mlchecks` library, which is designed for validating machine learning models and data. Their primary contribution involves implementing a mixed-types check within the integrity module, alongside associated tests. The user also made changes related to release processes and notebook linting.
ml-modelspythonjupyter-notebookdata-modelsmodel-monitoring
Sosivio/community-operators
Jan 2022 - Jul 2023
The canonical source for Kubernetes Operators that are published on OperatorHub.io and part of the default catalog of the Operator Lifecycle Manager.
Contributions:1 PR, 30 pushes, 28 branches in 1 year 6 months
kubernetes-operatorsoperator-sdklifecycleoperator-lifecycle-manageroperator
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