Sally-Ann DeLucia is a machine learning practitioner with a master’s degree in Applied Data Science, strong analytical skills, and a talent for solving complex problems. She works at Arize, where she focuses on helping teams build, iterate on, and monitor AI agents and LLM-powered applications in real-world settings.

Her work covers the practical challenges of production AI: developing and testing LLM applications, using tracing to understand how users interact with AI assistants, filtering and inspecting production data, and knowing which observability features to use at each stage of the development lifecycle. She has shared this experience in a detailed guide on building an AI agent that thrives in the real world, walking through how her team develops, iterates, and improves an AI Copilot using Arize and Phoenix.

Deeply technical yet creative, Sally-Ann strives to develop solutions that are not only technically sound but also socially responsible.