Alan Akbik
Professor Of Machine Learning at Humboldt University of Berlin
Berlin, Germany
Summary
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Rockstar🎓
Top SchoolAlan Akbik is a Professor of Machine Learning at Humboldt-Universität zu Berlin with over a decade of experience building and operationalizing state-of-the-art NLP research. He leads research on transfer learning, few-shot learning and semantic parsing and has a strong track record translating academic advances into practical tooling through the widely used open-source Flair NLP framework. Prior roles include leading NLP research at Zalando and postdoctoral work at IBM, where he focused on multilingual information extraction and semantic parsing at scale. His work combines deep learning rigor with production-oriented engineering—evident in contributions to tokenization, encoding handling, and entity/relation loaders in the Flair codebase. Based in Berlin, he bridges academic research, open-source community stewardship, and real-world text analytics applications.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Technische Universität Berlin
English, German, French, Spanish, Japanese, Italian
Github Skills (7)
machine-learning10
nlp10
python10
natural-language-processing9
bert8
text-classification7
text-processing7
Programming languages (8)
Github contributions (5)
flairNLP/flair
Jun 2018 - Jan 2023
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Role in this project:
Back-end Developer and ML Engineer
Back-end Developer and ML EngineerContributions:24 releases, 236 reviews, 2398 commits in 4 years 8 months
Contributions summary:Alan's contributions primarily focused on handling and processing text data within the "flairnlp/flair" repository, including the implementation of various tokenization processes, handling of specific encodings for Windows, and handling emojis within the BERT model. They were responsible for implementing solutions related to handling both the text and the label from JSONL files, as well as the development of a class for loading entities and relations for entity linking. The user also contributed to a task-specific evaluation metric.
nlppytorchnamed-entity-recognitionartsemantic-role-labeling
alanakbik/alanakbik.github.io
Apr 2016 - Mar 2025
Contributions:3 PRs, 144 pushes, 1 branch in 8 years 11 months
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