Personalized Relevance with VLMs and Sparse Vectors

Piotr Kobziakowski is an AI Search Engineer specializing in search, analytics. He has designed and optimized large‑scale search and recommendation systems for high‑traffic platforms. He is working extensively with modern search stack Vespa and previously Elasticsearch. His experience spans across relevance modeling, ranking, experimentation, data analytics and data‑driven product improvements, merging engineering and business goals.

As an instructor, Piotr focuses on making search, AI, and personalization practical and accessible.

Trey is lead author of the book AI-Powered Search and is the founder of Searchkernel, a software company building the next generation of AI-powered search. He is an advisor to several startups and adjunct professor of computer science at Furman University. He previously served as CTO of Presearch, a decentralized web search engine, and as chief algorithms officer and SVP of engineering at Lucidworks, an search company whose search technology powers hundreds of the world’s leading organizations.

Learn with Trey in the upcoming

AI-Powered Search: Modern Retrieval for Humans & Agents course.