Project
Evidence-Grounded Resume Tailoring Platform
A RAG-based resume-tailoring system that generates role-specific resumes from verified user evidence using structured retrieval, deterministic validation, and human review.
Why I Built It
I noticed that tailoring a resume for each application meant either exaggerating claims or losing sight of genuine accomplishments. I wanted a system that treats a resume as a traceable artifact — every claim linked back to source evidence.
The Problem
Job-specific resume tailoring often introduces unsupported claims or loses important evidence. The platform is designed to keep generated resumes grounded in verified user material.
The Solution
The system retrieves structured evidence, drafts role-specific resume content, validates claims deterministically, and routes outputs through a review workflow before export.
Results
The MVP demonstrates a maintainable workflow for producing role-specific resume variants while keeping claims traceable to source evidence.
What This Demonstrates
End-to-end RAG system design, structured output validation, evidence-grounded generation workflows, and full-stack integration with a human-in-the-loop review step.
Limitations
Final resume quality still depends on the quality and coverage of the user's source evidence.
Future Improvements
Add richer evaluation dashboards, better role parsing, and collaborative review workflows.