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Design an online experimentation (A/B testing) platform for ML models at scale.

A dependable experiment platform goes well beyond splitting traffic in half. What matters is stable assignment, exposure logging, statistical discipline, and guardrails that hold up against peeking and sample-ratio mismatch. Here is the design.

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

A dependable experiment platform goes well beyond splitting traffic in half. What matters is stable assignment, exposure logging, statistical discipline, and guardrails that hold up against peeking and sample-ratio mismatch. Here is the design.

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