Design an ML experiment-tracking and analysis platform.

Every team rebuilds 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, ties them together by lineage, and makes thousands of experiments comparable, which is a different system from a model registry.

Updated Sep 2026 · Grounded in real GenAI, LLM, and AI/ML engineering interview loops and written to a senior-engineer editorial bar.