LLM inference cost vs latency trade-offs: optimization strategies for production AI systems with budget constraints.

Prevent code and data leakage in LLM applications: sandboxing, output filtering, and secure coding practices.

Six-step process for acing AI engineering interviews: from clarification to trade-off analysis with real examples.

Discovery questions framework for AI interviews: how to ask the right clarifying questions before designing a system.