Paul Staab

Senior Solution Architect at TÜV SÜD

Munich, Bavaria, Germany
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Summary

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Paul Staab is a Senior Solution Architect based in Munich with 13 years of experience translating data science and ML research into production-ready Data & AI systems. Trained as a mathematician and statistical geneticist (Dr. rer. nat.), he combines rigorous analytical foundations with hands-on expertise in data engineering and MLOps to deliver solutions that work beyond the demo. His career spans industry and consulting roles—from Huawei and Machine Learning Reply to freelance engagements—where he focused on scalable pipelines, model deployment, and operational reliability. Now at TÜV SÜD he helps bridge technical architecture with compliance and real-world constraints, ensuring AI projects are auditable and maintainable. Colleagues know him for pragmatic engineering that privileges robustness over novelty and for turning complex statistical ideas into reliable production services.
code13 years of coding experience
job9 years of employment as a software developer
bookDiplom Mathematics, Diplom Mathematics at The University of Freiburg
bookDr. rer. nat. Statistical Genetics, Dr. rer. nat. Statistical Genetics at Ludwig-Maximilians-Universität München
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Stackoverflow

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Github Skills (103)

prediction-model10
apache-spark10
python10
simulator10
hadoop10
ubuntu10
dockerfile10
r10
big-data10
linux10
scale10
sql10
data-processing10
genome10
spark10

Programming languages (13)

JavaC++CSSScalaTeXMakefileHTMLDockerfile

Github contributions (5)

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scrm/scrm

Feb 2013 - Dec 2020

A coalescent simulator for genome-scale sequences
Contributions:16 releases, 247 commits, 101 PRs in 7 years 11 months
genomescalesimulatorbioinformaticscoalescent
paulstaab/homepage

Jan 2015 - Oct 2021

My personal homepage
Contributions:52 PRs, 245 pushes, 55 branches in 6 years 9 months
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Paul Staab - Senior Solution Architect at TÜV SÜD