Summary
Jakob Janot is an experienced data scientist and agile software developer with 11 years of hands-on experience building content and knowledge management systems, including databases, knowledge graphs, search engines, web harvesting platforms, and data pipelines. He has driven large-scale document transformation and enrichment projects for legal publishing—automating up-conversion, linking free-text references to law via custom NER built on fine-tuned GPT-3.5, and orchestrating high-throughput harvesting and migration pipelines. As a senior engineer and systems architect he has delivered linked-data services, RDF vocabularies, cloud CI/CD migrations and real-time quality monitoring, often turning messy, heterogeneous legal content into validated, versioned XML/markdown artifacts. Now an assistant professor in Roskilde, he blends rigorous applied-math training with practical production engineering and a talent for teaching modern XML and data-centric practices to teams. An understated strength is his ability to bridge domain complexity and tooling—translating legal and scientific content challenges into robust, automatable architectures.
11 years of coding experience
13 years of employment as a software developer
Testrup Højskole
Haderslev Katedralskole
Technical University of Denmark