Shreya Shankar is a US ML engineer and PhD candidate (UC Berkeley, formerly Google Brain and Viaduct) focused on the production-engineering side of ML systems and LLM evals. She is one of the more cited independent voices on the eval discipline for AI applications.
Her CourseFlix listing carries AI Evals For Engineers & PMs — a structured treatment of the eval discipline applied to LLM applications: how to design eval datasets, choose appropriate metrics, run systematic comparisons, and use evals as a continuous-feedback tool rather than a one-off launch gate.
Material is paid and aimed at engineers and product managers shipping LLM-powered features. For broader content, see CourseFlix's AI for Business & Product category page.
