AI · Case Study 02/09
AI Résumé Standardisation Engine
Turns messy résumés in PDF, DOCX or image form into clean, standardised profiles. An LLM pipeline extracts and restructures candidate data, recruiters edit live, then export in their house template, one at a time or in bulk.
My roleBuilt the AI pipeline, editor and export
ClientConfidential · walkthrough available on a call
UploadQueueTemplatesEditorExport
Bulk processing
In queue86
Parsed412
Exported398
Résumé preview
Illustrative interface with sample data; a project walkthrough is available on request.
UploadQueueTemplatesEditorExport
Bulk processing
In queue86
Parsed412
Exported398
Résumé preview
UploadQueueTemplatesEditorExport
Parsed candidates
Candidate_014.pdfParsed · 14 skillsReady
Profile_scan.jpgOCR + LLMParsing
CV_final.docxTemplate v2Ready
Resume_22.pdfQueuedQueued
Résumé preview
What I Built
- Multi-format parsing: PDF, DOCX and images
- LLM extraction into structured candidate data
- Template standardisation with live editing
- Bulk processing queue
- Document generation and export
Why It Matters
Recruiting teams stop reformatting résumés by hand and present every candidate the same way.