Daniel Reuter is an analytical systems developer and study coach based in Greater Stockholm with eight years of experience bridging data science, cloud-enabled data engineering, and backend/Infrastructure-as-Code development. He has a practical R&D mindset from roles at Atea—where he evaluated sequence models like LSTM and worked across AI/BI, backend systems, and IaC—and a strong grounding in method development from lab work at Karolinska. Comfortable mentoring students in STEM subjects, he pairs clear teaching skills with hands-on engineering, making complex concepts accessible while shipping reliable workflows. His academic path spans computer science, engineering and physics, reflecting a multidisciplinary curiosity that fuels pragmatic problem solving across research and production.
8 years of coding experience
4 years of employment as a software developer
Computer Science, Computer Science at KTH Royal Institute of Technology
Gymnasieexamen, Teknik, Gymnasieexamen, Teknik at Polhemsskolan Gävle
Computer Science, Computer Science at Royal Institute of Technology
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