Martin Schmitt

Senior Data Scientist

Blankenborn, Rhineland-Palatinate, Germany
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Summary

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Senior
🎓
Top School
Martin Schmitt is a Senior Data Scientist with 11 years of experience bridging deep learning research and applied ML, currently building AI solutions at celebrate company. He holds a PhD in Computer Science from Ludwig-Maximilians-Universität München and has a strong NLP pedigree—his doctoral work focused on text generation from knowledge graphs, information extraction, and natural language inference. Martin's background includes an applied science internship at Amazon and teaching roles in theoretical computer science, giving him both industry pragmatism and formal foundations. He combines research-grade modeling skills with product-oriented deployment, often turning complex knowledge-driven NLP ideas into production-ready features. Based in Rhineland-Palatinate, Germany, he brings a rare mix of linguistics-informed modelling (from an interdisciplinary BA) and top-grades across multiple master's programs, which helps him translate linguistic nuance into robust ML systems.
code11 years of coding experience
job5 years of employment as a software developer
bookMaster's degree, Software and Knowledge Engineering, Master's degree, Software and Knowledge Engineering at University of Strasbourg
bookBachelor of Arts - BA, Computer Science / Indo-European Languages, 1,3, Bachelor of Arts - BA, Computer Science / Indo-European Languages, 1,3 at University of Erlangen-Nuremberg
bookMaster of Science - MS, Computer Science, 1,0, Master of Science - MS, Computer Science, 1,0 at Friedrich-Alexander-Universität Erlangen-Nürnberg
bookDr. rer. nat., Computer Science, Magna cum laude, Dr. rer. nat., Computer Science, Magna cum laude at Ludwig-Maximilians-Universität München
languagesGerman, English, French, Dutch, Spanish
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Github Skills (64)

pytorch10
python10
machine-learning10
deep-learning10
natural-language-processing10
transformer10
speech-recognition10
nlp10
weakly-supervised-learning10
transformers9
datasets9
language-model9
bert9
tensorflow9
text-labeling9

Programming languages (4)

ShellMakefileJupyter NotebookPython

Github contributions (5)

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awisiorek/syntax-1819

Nov 2018 - Jan 2019

Kursseite mit Materialien zur Vorlesung "Syntax natürlicher Sprachen" im Wintersemester 2018/19 (CIS, LMU München)
Contributions:47 commits, 27 pushes in 2 months
sprachenvorlesunglmucismit
awisiorek/syntax-1920

Oct 2019 - Jan 2020

Contributions:46 commits, 31 pushes in 3 months
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Martin Schmitt - Senior Data Scientist