Per Solberg is a data engineer and computational linguist with eight years of experience building production-ready AI and language technology solutions in Norway. He combines a PhD in linguistics with hands-on skills in speech recognition, RAG, and scalable data pipelines, and is a certified Databricks Data Engineer Associate currently delivering AI systems that interact with customers’ own data at Knowit. Previously he led language-technology efforts at the National Library of Norway, producing 5,000 hours of high-quality Norwegian ASR training data and contributing to national policy and expert panels. Per has managed and trained linguist teams on large NLP projects (including a stint at Google), and has a track record of turning research into practical tooling and efficient Python-based pipelines. Colleagues describe him as someone who bridges deep linguistic insight and pragmatic engineering—often spotting dataset and annotation issues that others miss.
8 years of coding experience
2 years of employment as a software developer
University of Oslo
Master of Philosophy in Theoretical Linguistics, Linguistics, A, Master of Philosophy in Theoretical Linguistics, Linguistics, A at University of Tromsø (UiT)
Philosophy, Theology, Philosophy, Theology at Université Catholique de Lille
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