Leon Weber-genzel
Machine Learning Research Engineer at smedo GmbH
Nuremberg, Bavaria, Germany
Summary
🤩
Rockstar🎓
Top SchoolLeon Weber-genzel is a Machine Learning Research Engineer with over a decade of experience building ML models, evaluation pipelines and application software—especially in NLP and biomedical information extraction. He holds a summa cum laude Doctor of Science in Computer Science and has published at top venues (ACL, EMNLP, NeurIPS, ISMB) while turning research into state-of-the-art tools used in real workflows. At Humboldt and LMU he led projects on representation learning, novelty detection and bio-NER, and now applies that research pragmatically at smedo GmbH. A significant open-source contributor to the widely used flairNLP framework, he integrated multiple biomedical corpora and improved multi-tagger and performance-critical components. Motivated by creating software that directly improves people’s lives, he brings a rare blend of rigorous academic research, production-focused engineering, and hands-on dataset craftsmanship.
11 years of coding experience
9 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Freie Universität BerlinDoctor of Science, Computer Science, summa cum laude, Doctor of Science, Computer Science, summa cum laude at Humboldt-Universität zu BerlinMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Humboldt University of BerlinBachelor of Arts - BA, Philosophy, Bachelor of Arts - BA, Philosophy at Otto-Friedrich-Universität Bamberg
Github Skills (13)
pytorch10
nlp10
python10
data-integration10
natural-language-processing10
data-processing10
data-set10
datasets10
data-science9
machine-learning9
named-entity-recognition9
sequence-labeling9
bioinformatics8
Programming languages (5)
Github contributions (5)
flairNLP/flair
Apr 2020 - Sep 2020
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Role in this project:
Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:50 commits, 3 PRs, 41 pushes in 5 months
Contributions summary:Leon contributed significantly to the `flairnlp/flair` repository, focusing on the integration and implementation of various biomedical datasets and NER functionalities. Their commits involved adding new datasets like BioInfer, CellFinder, CHEMDNER, and others, demonstrating a strong understanding of dataset integration and data processing. They also worked on improving the efficiency of entity overlap checks and mapping corpora-specific tags to canonical tags, indicating a focus on both data quality and performance optimization. Additionally, the user contributed to the development of a multi-tagger model within the framework.
nlppytorchnamed-entity-recognitionartsemantic-role-labeling
leonweber/pedl
May 2020 - Jan 2023
Contributions:40 commits, 7 pushes in 2 years 9 months
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