review-resume

AI tone auditing detects generic, AI-sounding resume claims by evaluating language patterns and structure. It flags bullet points lacking authentic technical depth, ensuring your career narratives sound genuine and pass examiner-grade quality gate loops before submission.

JD keyword matching aligns your resume content with job description requirements by analyzing technical keywords and competencies. It evaluates how well your career narratives and problem-solving sections satisfy specific role demands before high-stakes job applications.

Fix low-impact resume bullets by generating 2-3 corrective alternatives with explicit trade-offs for each point. The quality gate process verifies technical claims, drives examiner loops, and records APPROVE or REQUEST_CHANGES verdicts to refine problem-solving narratives.

Generate a structured HTML report after evaluating your resume to visualize P-level statistics and inline feedback markup. The report compiles tactical options and accumulates notes from the quality gate review for future application preparation.

Resume review is designed for high-stakes software engineering applications, evaluating technical claims and structure using D1-D6 criteria. It transforms scattered career details into interview-ready narratives tailored for demanding engineering roles.