Martin Malmsten

Data Scientist

Greater Stockholm Metropolitan Area Sweden
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Summary

👤
Senior
🎓
Top School
Martin Malmsten is a data scientist and seasoned IT architect with 20 years’ experience building production-ready ML and data platforms at the National Library of Sweden. He blends deep machine learning and MLOps expertise with infrastructure skills—Kubernetes, semantic web, and enterprise systems—to move models from research into reliable services. A practical engineer who started as a UNIX sysadmin and developer, he has led search and development teams while shaping creative technical environments. Martin is also an active open-source contributor to Hugging Face Transformers, adding Albert support to the NER pipeline, showing his ability to adapt state-of-the-art NLP models to real-world tooling. Based in Greater Stockholm, he pairs institutional knowledge of national-scale library systems with modern AI infrastructure practices.
code20 years of coding experience
job14 years of employment as a software developer
bookComputer Science and Technology, Computer Science and Technology at Linköping University
languagesEnglish, Swedish
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Github Skills (6)

transformers10
pytorch10
machine-learning10
nlp10
python10
deep-learning9

Programming languages (7)

JavaC++JavaScriptGoGroovyLessPython

Github contributions (5)

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huggingface/transformers

Feb 2020 - Feb 2020

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Role in this project:
userML Engineer
Contributions:9 commits, 4 PRs, 4 comments in 25 days
Contributions summary:Martin contributed significantly to the `transformers` repository, specifically focusing on adding support for the Albert model within the Named-Entity-Recognition (NER) pipeline. This involved implementing the `AlbertForTokenClassification` class, integrating Albert into the existing NER framework, and modifying code to handle Albert's specific tokenization requirements. Further contributions included test implementations and minor code corrections, demonstrating expertise in adapting and extending the library's capabilities for different model architectures.
pythonbertspeech-recognitionstate-of-the-artflax
Kungbib/kblab

Mar 2019 - Dec 2020

KB data lab
Contributions:59 commits, 1 PR, 24 pushes in 1 year 8 months
lab
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Martin Malmsten - Data Scientist