Eivind Kjosbakken is a Senior Data Scientist at Findable, where he develops AI systems that understand buildings through their documentation. He holds an MSc in Computer Science from NTNU and has worked with machine learning for over five years — as a consultant, researcher, and startup engineer. Outside of Findable, Eivind is a top contributor and technical writer for Towards Data Science, where he shares practical insights on applied AI and model interpretability. His writing and research focus on bridging the gap between cutting-edge machine learning and real-world applications in the built environment.
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