Sebastian Lund is a quantitative researcher with a decade of experience and a MSc in Computer Science from Aalborg University, specializing in Machine Intelligence and deep learning on unstructured data. Based in Aalborg, he applies research-grade ML techniques to energy trading problems at Norlys Energy Trading, bridging academic rigor with production needs. His background includes hands-on software development at Aalborg University's Department of Computer Science, where he contributed to research and tooling over multiple student developer roles. Sebastian combines theoretical depth in deep learning with practical engineering experience, enabling robust model development and deployment. He is comfortable navigating both research literature and applied system constraints, often translating complex models into usable solutions for commercial domains. A detail that sets him apart is his focus on unstructured-data pipelines—turning messy inputs into predictive signals for decision-making in fast-moving markets.
10 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Aalborg University
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Aalborg Universitet
Contributions:11 reviews, 7 PRs, 20 pushes in 1 year 10 months
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