AI Safety & Security

How would you design a safe first LLM feature for an existing product?

Designs a bounded and reversible first AI feature with measurable value, controlled data, validation, evaluation, observability, fallback, and human oversight.

Why wrap a probabilistic model in deterministic application rules?

Places validation, authorization, limits, state transitions, and approval outside the model while acknowledging that guardrails reduce rather than eliminate risk.

AI Engineering

Applied AI interview preparation grounded in real product and production decisions.

An applied AI engineering path covering model behavior, tokens, context, output controls, embeddings, model selection, reliability boundaries, and production diagnosis.