Design an ML experiment-tracking and analysis platform.

Every team reinvents a spreadsheet of training runs and then drowns in it. The interviewer wants the platform that ingests runs, params, metrics, and artifacts at high write volume, links them by lineage, and makes thousands of experiments comparable, which is a different system from a model registry.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.