Martin Riedl
Lead Data Scientist
Mannheim, Baden-Württemberg, Germany
Summary
👤
Senior🎓
Top SchoolMartin Riedl is a Lead Data Scientist based in Mannheim with 10 years of experience bridging academic research and industry in machine learning and computational linguistics. He has progressed from doctoral and postdoctoral work on unsupervised computational semantics and topical change detection in historic newspapers to production-focused roles building data warehouses, CI/CD pipelines, and NLP systems. At Diamant Software he advanced from Senior Data Scientist to leading data science efforts, and his background includes applied projects in medical NLP and next-generation sequencing analysis. Comfortable moving models from research into cloud-based, production environments, he combines deep linguistic insight with practical engineering for scalable AI solutions. An unusual strength is his long-running focus on temporal and cross-cultural semantic change, which informs robust, context-aware NLP for real-world applications.
10 years of coding experience
15 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Fachhochschule Mannheim - Hochschule für Technik und Gestaltung
Github Skills (17)
crf10
text-segmentation9
entity9
nlp8
lstm8
segmentation8
lda8
topic-modeling8
latent-dirichlet-allocation8
fasttext7
natural-language-processing7
sequence-labeling6
machine-learning6
pytorch6
named-entity-recognition6
Programming languages (2)
Github contributions (5)
riedlma/topictiling
Mar 2018 - Oct 2019
TopicTiling is a text segmentation method that is based on LDA
Contributions:1 release, 17 commits, 17 pushes in 1 year 6 months
pytorchnlpldadeep-learningmethod
riedlma/SECOS
Mar 2016 - Oct 2019
Contributions:33 commits, 27 pushes, 1 branch in 3 years 7 months
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