Martin Ueding

Staff Research High Performance Computing Engineer at DeepL

Bonn, North Rhine-Westphalia, Germany
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Summary

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Senior
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Top School
Martin Ueding is a Staff Research High Performance Computing Engineer at DeepL with 15 years of experience bridging computational physics, numerical methods, and machine learning for NLP. He holds a PhD in computational/theoretical physics and has a strong track record building performant C++, Python, and R software for large-scale numerical problems and neural machine translation. At DeepL he progressed from research scientist to staff engineer, applying HPC techniques to accelerate model training and inference. His background in lattice scattering and administering research compute clusters gives him uncommon depth in both algorithmic theory and practical system operations. He also tutors and mentors regularly, translating complex numerical concepts into teachable code and tools. Based in Bonn, he combines academic rigor with production-grade engineering to deliver efficient, reproducible ML systems.
code15 years of coding experience
job10 years of employment as a software developer
bookPhD (estimated for October 2020), Physics, Magna Cum Laude, PhD (estimated for October 2020), Physics, Magna Cum Laude at Rheinische Friedrich-Wilhelms-Universität Bonn
languagesEnglish, German
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Stats
8,441reputation
543kreached
79answers
144questions
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Github Skills (200)

opencv10
restructuredtext10
python10
image-processing10
gps10
stochastic10
solver10
deep-learning10
clover10
streamlit10
monte-carlo10
markdown10
xeon-phi10
r10
ml10

Programming languages (18)

C++CRagel in Ruby HostTeXM4GoHTMLJupyter Notebook

Github contributions (5)

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Contributions:8 pushes, 5 tags in 4 years 9 months
Contributions:10 commits, 1 push in 6 years 7 months
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