Summary
Danil Ivanov is a Data ML Platform Engineer with 11 years of experience building cloud-native data and ML infrastructure, currently driving platform work at Digitec Galaxus in Zurich. He has led design and implementation of production forecasting and inventory optimization systems (Python, SQL, Airflow) that translated academic time-series methods into operational supply-planning tools. At FELFEL he progressed from analytics engineer to senior platform engineer, consolidating microservices, establishing MLOps best practices, and shipping linear-programming based inventory backends. His background spans VR software, Android development and teaching at ETH Zürich, giving him a rare mix of applied research, frontend-to-backend engineering, and pedagogy. An avid cyclist, hiker and boulderer, he brings the same iterative, data-driven mindset to outdoor pursuits as to optimizing complex operational workflows.
10 years of coding experience
8 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at EPFL
Master of Science - MS Computer Science, Master of Science - MS Computer Science at ETH Zürich
English, French, Russian, German, Italian