Christoph Alt
Senior Data Scientist
Berlin, Germany
Summary
🤩
Rockstar🎓
Top SchoolChristoph Alt is a Senior Data Scientist based in Berlin with 12 years of experience bridging academic research and production ML systems. He holds a summa cum laude Dr.-Ing. in Machine Learning and has driven sample-efficient information extraction and lifelong learning research at Humboldt University and DFKI. At Bayer he applies that research lens to industry problems, building robust language AI solutions informed by prior work that powers high-throughput extraction and customer-support dialogue systems. Christoph is an active open-source contributor—he implemented relation classification and DrugProt/CoNLLU support in the widely used flairNLP framework—demonstrating the ability to move state-of-the-art NLP into reusable engineering artifacts. He has a strong background in scalable data pipelines and distributed ML from roles at TU Berlin and Zalando, which complements his research-to-production track record. Colleagues describe him as a pragmatic researcher-engineer who consistently turns deep technical insights into deployable, high-impact systems.
12 years of coding experience
9 years of employment as a software developer
Bachelor of Engineering (B.Eng.), Computer Engineering, Bachelor of Engineering (B.Eng.), Computer Engineering at University of Applied Sciences MunichMaster of Science (M.Sc.), Computer Engineering, Master of Science (M.Sc.), Computer Engineering at Technische Universität Berlin
Github Skills (9)
pytorch10
machine-learning10
nlp10
named-entity-recognition10
relation-extraction10
python10
natural-language-processing10
sequence-labeling8
mlops7
Programming languages (5)
Github contributions (5)
flairNLP/flair
Jun 2021 - Jul 2021
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Role in this project:
ML Engineer
ML EngineerContributions:6 commits, 1 PR, 3 pushes in 1 month
Contributions summary:Christoph significantly contributed to the implementation of relation classification within the flairnlp/flair repository, a framework for NLP. They initiated the development of a relation classifier model and integrated it with the existing framework, including dataset integration (CoNLLU and SemEval 2010). Furthermore, they extended the model to support and handle CoNLLU (Plus) formatted corpora and datasets and the DrugProt dataset. These contributions expand the framework's capabilities and demonstrate expertise in building relation extraction models.
nlppytorchnamed-entity-recognitionartsemantic-role-labeling
ChristophAlt/tsne-flink
Jul 2015 - Jul 2015
Contributions:47 commits, 4 PRs, 30 pushes in 26 days
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