Evgeniya Sukhodolskaya builds developer ecosystems at Qdrant, focusing on the retrieval layers that give AI agents their memory. With a background spanning software engineering and machine learning, she works to make vector search practical for developers building data-centric systems.
She explores technical approaches to context engineering and edge AI. Her sessions break down how to embed vector search engines into constrained environments like smart glasses, as well as orchestrating retrieval for tools like medical AI copilots. By focusing on local data and offline support, she pushes for semantic search that remains fast, relevant, and privacy-preserving.