Aksel Danielsen is a Lead AI and Data Engineer with eight years of experience designing and delivering AI-driven products and data platforms across consulting and industry. He blends hands-on software engineering—ranging from embedded C/C++ to full-stack development—with advanced AI and data science practice developed at QuantumBlack and McKinsey. Trained in cybernetics and robotics at NTNU with an exchange year in computer science at MIT, he brings a strong systems-thinking approach to building reliable, production-ready ML solutions. Aksel’s background as a consultant means he pairs technical depth with client-facing strategy, translating complex business problems into actionable AI roadmaps. Notably, his career path spans both low-level systems work and high-level product strategy, giving him a rare end-to-end perspective on AI delivery.
8 years of coding experience
2 years of employment as a software developer
Exchange Year Computer Science, Exchange Year Computer Science at Massachusetts Institute of Technology
Contributions:4 commits, 1 push, 1 branch in 29 days
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