Freelance machine learning engineer

Klie AI

Biography

Hi! I am Jan. I just defended my Ph.D. thesis which I conducted at the Ubiquitous Knowledge Processing (UKP) Lab, Technical University of Darmstadt, Germany. My research focuses on data annotation, especially improving annotation efficiency for NLP. As part of the INCEpTION project, we build a batteries-included platform for text annotation. I also am an experienced software engineer, especially in backend development as well as a system architect and administrator. In my free time, I love to learn Mandarin.

In addition to my current research, I am also available as an AI consultant. I have a strong background in data annotation including best practices, increasing annotation efficiency and quality, software backend engineering as well as building AI IT infrastructure. If that sounds interesting, then I would be happy hearing from you!

Interests
  • Data Annotation
  • Interactive Machine Learning
  • Reinforcement Learning
  • Continual Learning
  • Information Retrieval
  • Chinese
Education
  • PhD in Computer Science, 2018 - 2024

    TU Darmstadt

  • MSc in Computer Science, 2017

    TU Darmstadt

  • BSc in Computer Science, 2014

    DHBW Mannheim

Recent Publications

(2023). Lessons Learned from a Citizen Science Project for Natural Language Processing. Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics.

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(2023). Annotation Error Detection: Analyzing the Past and Present for a More Coherent Future. Computational Linguistics.

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(2023). Analyzing Dataset Annotation Quality Management in the Wild.

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(2022). Annotation Curricula to Implicitly Train Non-Expert Annotators. Computational Linguistics.

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(2020). From Zero to Hero: Human-In-The-Loop Entity Linking in Low Resource Domains. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics.

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