Gabriel Eyyi is a Lead Entwicklung specializing in DataOps and MLOps with a decade of hands-on experience building production data platforms and machine learning pipelines, currently leading development at Sanitas in Zurich. He progressed from research and engineering roles at ZHAW and startups to manager-level positions, blending deep technical skills in reinforcement learning and data engineering with practical experience in agile IT project management. Gabriel holds an MSc in Information and Communication Technologies and completed a CAS in Agile IT Project Management, reflecting a mix of rigorous academic training and delivery-focused leadership. Known for turning experimental ML concepts into robust operational workflows, he thrives at the intersection of analytics, automation, and cross-functional team enablement.
10 years of coding experience
5 years of employment as a software developer
Informatik, Informatik at ZHAW School of Engineering
Certificate of Advanced Studies (CAS) Agiles IT Projektmanagement, Certificate of Advanced Studies (CAS) Agiles IT Projektmanagement at ZHAW School of Management and Law
Contributions:4 pushes, 1 branch in 1 year 4 months
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