Lasse Nielsen is a CTO and co-founder with 10 years of experience blending applied machine learning and product engineering, currently leading Woodsense to reduce construction waste through intelligent sensor-driven monitoring. He holds an M.Sc.Eng. in Mathematical Modelling and Computing from DTU (with time at RPI) and specializes in deep learning and NLP, translating research-grade models into production systems. His background spans hands-on full-stack development, R&D engineering, and data science consulting at Deloitte, giving him both startup grit and enterprise delivery experience. At Rent Guide he built a customer-facing platform with automated lease extraction and case valuation—an early example of his knack for combining ML with pragmatic product features. Based in Copenhagen, he pairs mathematical rigor with practical system design to ship resilient ML products that tackle sustainability and real-world data challenges.
10 years of coding experience
6 years of employment as a software developer
Matematik, Matematik at Teknisk Gymnasium Esbjerg
Master of Science in Engineering Mathematical Modelling and Computing, Master of Science in Engineering Mathematical Modelling and Computing at Rensselaer Polytechnic Institute
Simple Python interface to the The Danish Meteorological Institute's (DMI) Open Data API.
Contributions:1 review, 17 commits, 1 PR in 1 year 1 month
apidanishpythondata-apidmi
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