Summary
Edvard Lindelöf is a data scientist and engineering physicist with 10 years of experience helping organizations make ML and analytics production-ready. He has driven data pipeline and model validation improvements across automotive electrification at Volvo, clinical-NLP robustness at AstraZeneca, and analytics platform work for Sweden’s central bank, blending research-grade deep learning with production engineering. Comfortable both as a consultant and in-house contributor, he emphasizes code architecture, traceability, and tailored best practices that scale teams’ capabilities. His academic background in complex adaptive systems and engineering physics informs a systems-level approach to data problems and occasional cross-disciplinary solutions. Based in Gothenburg, he combines scientific rigor with pragmatic delivery and a knack for turning experimental models into auditable, maintainable services.
10 years of coding experience
8 years of employment as a software developer
Mechatronics, Robotics, and Automation Engineering, Mechatronics, Robotics, and Automation Engineering at Tohoku University
Master of Science (M.Sc.), Complex Adaptive Systems, Master of Science (M.Sc.), Complex Adaptive Systems at Chalmers University of Technology
Business Administration, Management and Operations, Business Administration, Management and Operations at University of Gothenburg
English, Swedish, Italian