Nathan Colbert
Nathan Colbert is an ML professional with 5 years experience building, deploying, and owning end-to-end ML Systems. Nathan works at Peacock as a Senior Manager of ML Architecture where he is focused on accelerating ML delivery across the organization.
Sessions
This hands-on tutorial guides participants through the process of constructing the essential components of a Machine Learning Platform (MLP) from scratch. We'll focus on implementing five core elements: a feature store, model registry, orchestrator, inference engine, and basic monitoring system. The session emphasizes practical, hands-on coding using Test-Driven Development (TDD), Domain Driven Design, and hexagonal architecture principles providing attendees with a functional foundation for a robust ML infrastructure.