Summary
William Marstrand is a research-minded machine learning engineer with a decade of software experience and an MSc in Mathematical Modelling and Computation focused on ML and signal processing. He blends strong engineering discipline—five years professionally writing clean, scalable code and programming since 2014—with statistical ML, Bayesian methods, deep learning, and time-series expertise. Past roles span academic research at DTU, hands-on ML engineering at Float, and product-focused data science at The Org, where he turned raw data into actionable features. Comfortable across PyTorch, sklearn, pandas, FastAPI, Snowflake, AWS and Docker, he favors efficient, production-ready ML solutions. Outside conventional roles he co-founded an EdTech startup and helped run a national AI student forum, signaling an interest in education and community-building as much as research.
10 years of coding experience
7 years of employment as a software developer
Bachelor's Degree, Software Development, Computer Software, Bachelor, Bachelor's Degree, Software Development, Computer Software, Bachelor at IT-Universitetet i København
Technical University of Denmark
English, java, c#, sql, f#, c, python