Jürgen Stary

Solutions Architect at DB Systel GmbH

Leipzig, Saxony, Germany
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Summary

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Senior
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Top School
Jürgen Stary is a Solutions Architect with eight years of focused experience designing, building, and operating cloud-native MLOps and ML systems, currently leading such efforts at DB Systel in Leipzig. He combines a quantitative, data-driven mindset—from years as a quantitative researcher and CTO of multiple startups—with hands-on architecture work across enterprise and startup contexts. Autodidactic and adaptable, he’s led teams as Lead Architect and Principal Data Architect at Alexander Thamm, shaping end-to-end ML stacks and operational practices. Comfortable bridging research, engineering, and product, he excels at turning experimental models into reliable, production-grade services. An uncommon strength is his background in education and economics alongside Tokyo Data Science training, which helps him communicate complex ML concepts to diverse stakeholders.
code8 years of coding experience
job14 years of employment as a software developer
bookLudwig Maximilian University of Munich
bookData Science, Data Science at Tokyo Data Science
book1. Staatsexamen / Bachelor of Education - BEd, 1. Staatsexamen / Bachelor of Education - BEd at Universität Augsburg
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Github Skills (92)

aws9
deployment-automation9
streamlit8
python8
development-tools8
development-kit8
cloud-infrastructure8
typescript8
notebook7
terraform7
deep-learning7
infrastructure7
pipeline7
developer-tools7
aws-cloud7

Programming languages (9)

HCLTypeScriptSmartyJavaShellGoJupyter NotebookYAML

Github contributions (5)

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jaystary/tacotron2

Jul 2019 - Aug 2019

Tacotron 2 - PyTorch implementation with faster-than-realtime inference based on NVIDIA implementation
Contributions:48 commits, 28 pushes, 1 branch in 1 month
pytorchrealtimenvidiadeep-learninginference
jaystary/notebooks

May 2019 - Sep 2019

Contributions:16 pushes, 1 branch in 4 months
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Jürgen Stary - Solutions Architect at DB Systel GmbH