Summary
Marcus Elwin is an AI Lead based in Stockholm with 11 years of cross-industry experience building practical ML and AI products that drive business value. He has progressed from quantitative roles at Nasdaq to founding data-science efforts at ICA and scaling ML systems at Tink, before architecting LLM-powered legal automation as Lead AI Engineer at Pocketlaw and now leading AI at Kustom. Marcus combines hands-on ML/LLMOps and data engineering (PySpark, Airflow, Text2SQL tooling) with product sensibility from roles in product management and sales, enabling 10x faster contract processing without sacrificing compliance. He mentors teams, speaks at industry meet-ups, and is comfortable translating regulatory and production constraints into robust AI solutions. Trained in machine learning (M.Sc., KTH), he pairs strong academic foundations with a pragmatic, service- and sales-oriented mindset. An early adopter of agentic AI patterns, he focuses on deployable, auditable systems rather than research for research’s sake.
11 years of coding experience
6 years of employment as a software developer
Master of Science (M.Sc.) Machine Learning, Master of Science (M.Sc.) Machine Learning at KTH Royal Institute of Technology
Exchange Student Computer and Information Sciences General, Exchange Student Computer and Information Sciences General at INSA Lyon - Institut National des Sciences Appliquées de Lyon
Cognitive Science, Cognitive Science at University of Gothenburg
Bachelor's degree Business & Economics, Bachelor's degree Business & Economics at Stockholm University
Swedish, English, German, French