Summary
Veronika Heimsbakk is a Knowledge Graph specialist with 12 years of experience turning messy, unstructured data into rich semantic structures for public and private sector clients across the Nordics. She has led knowledge-graph initiatives and GenAI efforts at Capgemini, served as go-to-market lead for public sector semantics, and now advances graph solutions at Data Treehouse. A practiced ontology architect and NLP practitioner, she’s built production knowledge graphs for national archives, maritime authorities and automotive firms, and trains colleagues worldwide in semantic technologies. Based in Oslo, she combines a pragmatic engineering background (C/C++ and Java roots) with a passion for semantic web standards, sem.tech communities and even LaTeX-driven documentation—bringing both technical depth and clear communication to complex data problems.
12 years of coding experience
8 years of employment as a software developer
Bachelor's degree programming and networks, Bachelor's degree programming and networks at University of Oslo
English, Norwegian