Andreas Søgaard is a data and AI leader with a decade of experience turning scientific rigor into operational impact, from developing graph neural networks for neutrino detection to delivering production ML for energy forecasting. Based in Denmark, he now leads the data team at Bornholms Energi & Forsyning, architecting a common data & AI platform and shipping products that cut wind forecast error by 40% and halved daily planning time. He blends academic depth (PhD work and Marie Curie-funded research) with hands-on product delivery and MLOps practice, having also built data capabilities as Chief AI Officer and partner in a growing consultancy. Andreas has a track record of scaling teams, playbooks and platforms while winning recognition for user-centered design—boosting user eNPS from -71 to +80 for a single product. He’s comfortable spanning research, engineering and strategic roadmaps, and often applies physics-style modelling and open-source tooling to messy, real-world operational problems.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy (PhD), Doctor of Philosophy (PhD) at The University of Edinburgh
Master of Science (MSc), Master of Science (MSc) at University of Copenhagen
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