When the Vantage360 team approached us, their recruiters were spending 4+ hours daily manually reviewing resumes. The hiring pipeline was a bottleneck — qualified candidates were slipping through because human reviewers couldn't keep up with application volume.
The AI Screening Architecture
We built a multi-stage AI screening pipeline using OpenAI's API with Express.js on the backend and React on the frontend. Stage one: automated resume parsing and structured data extraction. Stage two: semantic matching against job requirements using embedding similarity. Stage three: AI-generated candidate summaries with confidence scores for human reviewers.
Results After 90 Days
Filtering speed improved by 60%. Support ticket volume dropped 40% as candidates received faster, more accurate responses. Most importantly, hiring accuracy doubled — the AI wasn't just faster, it was finding better-fit candidates that human reviewers had been missing due to resume fatigue.
The system now processes 100+ candidates per batch, running on MongoDB for flexible document storage and React for the recruiter dashboard. Total build time: 7 weeks from architecture to production.
