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AI mock interviewer collection for software engineering job prep. 45 specialized interviewers across coding (arrays, trees, graphs, DP), system design (URL shortener, rate limiter, Uber, Twitter, search engine), behavioral (leadership principles, conflict, ownership), debugging (memory leaks, cascading failures, broken APIs), data engineering (SQL optimization, pipeline architecture, schema design), DevOps/SRE (Kubernetes, CI/CD, monitoring), ML engineering, and AI PM. Each interviewer adopts a realistic persona, runs a phased mock interview, provides a 4-level adaptive hint system, scores performance, and gives targeted feedback. Covers SWE-I through Staff-level roles.
Автор: songlin she