Built with ResumeCustomizer
The AI product behind these resumes
These resumes were generated with ResumeCustomizer, a product I built to solve my own job-search workflow: turning a large, source-audited career evidence base into role-specific, truthful, ATS-readable resumes.
ResumeCustomizer is an AI product system I built to make resume tailoring evidence-based instead of vibes-based. It evaluates a target role, selects the right positioning lane, maps source-backed proof points to the job's hiring thesis, runs specialized review agents, and renders a finalized PDF from canonical structured resume JSON. The system is designed to prevent unsupported claims, reduce overfitting to a single job description, and make the strongest truthful evidence obvious within a 10-second skim.
What the system does
- Role evaluation and fit scoring
- Template / positioning-lane selection
- Source-backed bullet selection
- Claim-to-evidence mapping
- Bridge strategy for adjacent-fit roles
- Multi-agent review: recruiter screen, ATS/readability, hiring-manager lens, source auditor, career positioning, bridge strategist
- Canonical final-resume.json generation
- Final PDF/HTML rendering with page-balance checks
- Guardrails against unsupported claims, fake metrics, and overpersonalization
Product signals demonstrated
- Agentic workflow design
- Source-grounded AI generation
- Multi-agent review and eval loops
- Human-in-the-loop judgment
- Product strategy and positioning systems
- Canonical rendering pipeline
- Quality guardrails and claim safety