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
ReactFastAPIPythonMongoDBLLMOpenAI
UploadQueueTemplatesEditorExport
Bulk processing
In queue86
Parsed412
Exported398
Résumé preview

Illustrative interface with sample data; a project walkthrough is available on request.

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.

Tech Stack

ReactFastAPIPythonMongoDBLLMOpenAI
Chat with me
Recruiter Brief

Harika Behara

ROLE
Senior Full-Stack Product Engineer · AI / LLM · WordPress
EXPERIENCE
7+ years · EdTech founder (2019–22) · 50+ client projects
STACK
React, Node.js, FastAPI, PHP, WordPress, OpenAI, JavaScript, Tailwind CSS, Express, Python, PostgreSQL, MySQL
BUILT
HR SaaS, AI Résumé Engine, Medicine Delivery, WhatsApp AI CRM
ALSO
Co-founder & writer, H View
AVAILABLE
Available now · Remote worldwide
CONTACT
harikabehara247@gmail.com · +91 77020 60528