Mantas Cepulkovskis
Mantas Čepulkovskis is a data scientist specializing in applications of machine learning. He has held senior roles at CAST AI, IBM, and Danske Bank, developing ML solutions across various industries. He earned an MSc in Physics from the University of Copenhagen, specializing in theoretical quantum physics.
Session
In today’s fast-paced machine learning environment, the ability to efficiently manage and reuse features across multiple models is crucial. This workshop explores how leveraging a feature store can streamline ML pipelines by ensuring consistency and accelerating deployment cycles.
Participants will gain hands-on experience with setting up, managing, and integrating feature stores into their existing workflows—transforming raw data into valuable, production-ready features.