ATS Intelligence

ATS Intelligence

Generated

Not just a score — a full breakdown of how applicant tracking systems read your best resume.

91Overall ATS

Likely top 8% of applicants for Staff ML Engineer ATS screens.

Content96%
Formatting88%
Keywords94%
Job Match90%
Readability95%
Machine Parsing91%
ATS compatibility: Parses cleanly in Workday, Greenhouse, Lever, and Taleo.

Suggestions

Missing Skills
  • ! Kubernetes (on General resume)
  • ! System Design
Weak Keywords
  • ! scalability
  • ! stakeholder management
Section Problems
  • ! Summary lacks a target title line
Formatting Problems
  • ! Two-column header may confuse older parsers

Generate an ATS-optimized version

Pick which suggestions to apply and which to ignore, then generate a grounded, re-scored resume — saved straight to your Resume Vault.