Pawel Darulewski

Senior Machine Learning Engineer at Ønskeskyen

Copenhagen, Capital Region of Denmark
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Summary

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Senior
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Top School
Pawel Darulewski is a Senior Machine Learning Engineer with nine years of hands-on experience building production-grade MLOps and backend systems using Go and Python. He architects infrastructure-as-code, event-driven pipelines, and CI/CD workflows that power high-throughput ML workloads and handle millions of daily operations. Comfortable bridging data science and engineering, he has deployed hundreds of models on Kubernetes, optimized LLM encoding/indexing, and combined dense retrieval with Solr/Elasticsearch for fast search and recommendation APIs. Pawel pairs deep technical rigor—C++, PyTorch, and performance tuning—with a pragmatic focus on observability, controlled rollouts, and measurable business impact. Based in Copenhagen, he brings a human-centered AI master's background to designing maintainable systems that scale in real-world production.
code9 years of coding experience
job7 years of employment as a software developer
bookEngineer's degree, Computer Science, Engineer's degree, Computer Science at Lodz University of Technology
bookMobility Semester, App Development, Mobility Semester, App Development at Windesheim
bookTechnical University of Denmark
languagesDanish, Polish, Spanish, English
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Stats
516reputation
229kreached
14answers
4questions
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Github Skills (88)

packaging10
semantic-versioning10
conventional-commits9
commitizen9
dependency-management9
python9
dependency-manager9
debugging9
package-manager9
python-packaging8
clustering8
lua8
nearest-neighbors8
neovim8
similarity8

Programming languages (6)

JavaC++GoLuaJupyter NotebookPython

Github contributions (5)

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ChristianHinge/geometric

Jun 2021 - Jun 2021

Contributions:1 review, 72 commits, 18 PRs in 14 days
Contributions:9 PRs, 239 pushes, 19 branches in 6 months
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Pawel Darulewski - Senior Machine Learning Engineer at Ønskeskyen