Violetta Mishechkina
Violetta Mishechkina leads Solutions Engineering at dltHub, helping teams build AI-ready data pipelines using the open-source library dlt. With a background in ML and MLOps, she focuses on turning messy, real-world data into reliable inputs for production systems. Over the past few year, Violetta has led several workshops on AI and data engineering, sharing practical insights with data teams across industries.
Session
This hands-on workshop focuses on what AI engineers do most often: making data AI-ready and turning it into production-useful applications. Together with dltHub and LanceDB, you’ll walk through an end-to-end workflow: collecting and preparing real-world data with best practices, managing it in LanceDB, and powering AI applications with search, filters, hybrid retrieval, and lightweight agents. By the end, you’ll know how to move from raw data to functional, production-ready AI setups without the usual friction. We will touch upon multi-modal data and going to production with this end-to-end use case.