Fabian Eitel is a Perception Engineer and machine learning scientist with 10 years of experience applying deep learning to neuroscience, computer vision, audio/MIR, and industrial anomaly detection. He blends academic rigor from a PhD trajectory at the Bernstein Center with practical product experience—co-founding startups, generating B2B revenue from an IoT product, and delivering ML solutions as a freelancer. At DB Systel and multiple freelance engagements he ships perception systems and music-education tools, leveraging Python, Java, Spark/Flink and production-grade distributed stacks. He’s a competition-proven practitioner (3rd place PAC 2018, hackathon wins) who also excels at storytelling and pitching technical visions. Having lived on three continents and worked across research and industry, he’s comfortable translating complex model insights into actionable engineering and business outcomes. A curious generalist, he often explores what models learn visually—bridging neuroscience interpretability with real-world perception systems.
10 years of coding experience
10 years of employment as a software developer
EIT Digital - Double Degree Master of Science (M.Sc.), Data Science, EIT Digital - Double Degree Master of Science (M.Sc.), Data Science at Université Nice Sophia Antipolis
Doctor's Degree, Computational Neuroscience, Doctor's Degree, Computational Neuroscience at Humboldt-Universität zu Berlin
International Management for Business and IT, International Management for Business and IT at Vancouver Island University
International Management for Business and IT, International Management for Business and IT at Duale Hochschule Baden-Württemberg
EIT Digital - Double Degree Master of Science (M.Sc.), Data Science, EIT Digital - Double Degree Master of Science (M.Sc.), Data Science at Universidad Politécnica de Madrid
edX BerkeleyX
Abitur, 1,7, Abitur, 1,7 at Siebengebirgsgymnasium Bad Honnef
Contributions:86 commits, 1 PR, 4 pushes in 4 years
pytorchneuroimagingdeep-learningtorchtorchvision
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