2026-02-14 –, VYAS - 1 - Room#VY102
In a world drowning in data, most teams still struggle with one thing: getting the right features to the right models at the right time. In this talk, I introduce Feast, the open-source feature store that acts like the chopsticks of data—lightweight, elegant, precise, and surprisingly powerful.
This will be beginner friendly talk which will explain what ML Pipeline is, what are the key components, & why we build one of the most underrated one!
I’ll break down how Feast streamlines feature management across real-time and batch pipelines, why it outperforms ad-hoc feature engineering, and how teams can use it to ship reliable ML systems faster. Whether you're building your first ML pipeline or scaling to production, come learn how Feast can turn messy data workflows into something clean, reusable, and production-ready.
A Software Engineer at Red Hat, working on Openshift AI with focus on Feast, the open-source feature store powering real-world ML systems. With deep experience in distributed systems, Kubernetes, and ML pipelines, I love turning complex data problems into simple, elegant engineering solutions.
If not messing with data, I solo-travel, read philosophy & psychology and find amazing eateries!