Staff Machine Learning Engineer at Kaufland e-commerce
Cologne, North Rhine-Westphalia, Germany
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Summary
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Senior
🎓
Top School
Lukas Huwald is a Staff Machine Learning Engineer based in Cologne with a decade of experience applying functional programming principles to practical ML problems in e-commerce. At Kaufland e-commerce he progressed from Data Scientist to Staff Engineer, shipping production microservices with Docker and Kubernetes for tasks ranging from clustering and classification to image processing and NER. He blends rigorous CS training from RWTH Aachen (with study time at Chalmers) and hands-on software engineering to bridge research-grade ML methods and scalable deployment. Known for pragmatic system design, he focuses on reliable, maintainable pipelines that make complex models operable in real-world retail settings.
11 years of coding experience
6 years of employment as a software developer
Master of Science Computer Science, Master of Science Computer Science at RWTH Aachen University
Computer science, Computer science at Chalmers University of Technology
English, German, Swedish, Japanese
Github Skills (79)
labeling9
pipeline9
llmops9
kubeflow-pipelines9
rust9
computer-vision9
annotations9
python9
datasets9
kubeflow9
label-studio9
jupyter-server9
vertex-ai9
text-annotation9
touchbar9
Programming languages (8)
TypeScriptJavaPureScriptGoMustacheJupyter NotebookRich Text FormatPython
Contributions:28 commits, 27 pushes, 1 branch in 1 month
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