Valeriia Platonova
Valeriia is a backend engineer at Kleinanzeigen, with a focus on recommendation systems and search. She is originally from Russia and is currently based in Berlin. She holds a degree in computer science, where she discovered her passion for building backend services.
Over the course of her career, she has worked across fintech, banking, and healthcare, primarily using Java and the Spring ecosystem. Her recent work reflects a strong interest in search technologies, particularly relevance, vector-based retrieval, and improving overall search quality.
Sessions
Data Science
Scale
Search
From Legacy Search to Vespa: What a Real PoC Taught Us
Short Talk
For years, Germany’s largest classifieds website relied on a search-first relevance approach because structured data was sparse. This talk shares how we introduced Vespa in the Motors category, enriched signals with embeddings and extracted attributes, and migrated step by step; what worked, what failed, and which lessons only a real PoC reveals.