WhisperGhost assistant
A practical step-by-step approach to system design interviews: requirements, APIs, data model, scaling, tradeoffs, and a checklist you can reuse.
Communication, edge cases, complexity, and debugging. A practical guide to performing well in coding interviews without freezing.
How to structure behavioral answers with STAR and still sound human. Includes examples engineers can adapt.
A focused checklist for ML interviews: metrics, bias/variance, model selection, experimentation, and ML system design.
A practical checklist for remote interviews: hardware, network, screen sharing, note-taking, and privacy/consent basics.