Martin Schmitt
Senior Data Scientist
Blankenborn, Rhineland-Palatinate, Germany
Summary
👤
Senior🎓
Top SchoolMartin 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.
11 years of coding experience
5 years of employment as a software developer
Master's degree, Software and Knowledge Engineering, Master's degree, Software and Knowledge Engineering at University of StrasbourgBachelor 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-NurembergMaster of Science - MS, Computer Science, 1,0, Master of Science - MS, Computer Science, 1,0 at Friedrich-Alexander-Universität Erlangen-NürnbergDr. rer. nat., Computer Science, Magna cum laude, Dr. rer. nat., Computer Science, Magna cum laude at Ludwig-Maximilians-Universität München
German, English, French, Dutch, Spanish
Github Skills (52)
pytorch10
python10
audio10
natural-language-processing10
nlp10
weakly-supervised-learning10
machine-learning-models9
transformers9
text-generation9
llm9
machine-learning9
multimodal9
inference9
deep-learning9
text-labeling9
Programming languages (4)
Github contributions (5)
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
mnschmit/ESSLLI-2017-Embeddings-and-Deep-Learning
Jul 2017 - Oct 2022
Example code for the practical part of the ESSLLI 2017 course on Embeddings and Deep Learning
Contributions:10 commits, 1 PR, 7 pushes in 5 years 3 months
deep-learning
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