Per Halvorsen is a data-focused machine learning engineer with eight years’ experience building and maintaining ML pipelines, currently working as a Data Processor after several roles on Schibsted’s Predict Team. He specializes in NLP, audio analysis, and computer vision, and has a strong statistical foundation from an MSc in Data Science (UiO) and a BASc in Math Informatics. Per’s work centers on converting raw data into enriched user signals used across multiple vendors, with a track record of cleaning legacy codebases and improving production feature engineering. Comfortable bridging research and production, he has hands-on experience operationalizing models and pipelines at scale in media and enterprise contexts. Based in Oslo, he pairs pragmatic engineering with a curiosity for multimodal data problems that often sit between NLP and signal processing.
Contributions:191 pushes, 1 branch in 1 year 2 months
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