Co-founder and CEO of Qdrant, a deep tech venture that aims to bring applied AI applications to the next level with the advanced, blazing-fast, open-source vector database. Enterprise-ready, industrial scale vector similarity search technology. Qdrant allows embeddings or neural network encoders to be turned into full-fledged applications for matching, semantic searching, recommendations, and more use cases for working with unstructured or semi-structured data analysis. Qdrant is written in Rust, a modern and performant programming language that enables us to deliver a highly scalable and reliable solution. Decades of experience in software development, product management, and co-founding digital companies. Strong background in building innovative and user-centric products and teams. Passionate about applying AI to solve real-world problems and creating value for our customers and partners. A firm believer in a people-first management approach that fosters a culture of trust, collaboration, and growth. The current mission is to establish Qdrant as a new standard for neural search-based AI solutions and to empower developers and businesses to leverage the power of vector databases.