Resume Screening Automation
A growing tech company receiving 500+ applications per week needed to streamline their hiring pipeline. We built an AI system that screens resumes, ranks candidates, and generates shortlists.
The Challenge
The HR team spent 30+ hours per week manually reviewing resumes. Inconsistent evaluation criteria led to qualified candidates being overlooked. Time-to-hire averaged 45 days, and top candidates were accepting other offers before the team could respond.
Our Solution
We developed an AI screening system that parses resumes in any format, extracts structured data, scores candidates against job-specific criteria, and generates ranked shortlists with detailed reasoning for each score.
- Resume parsing supporting PDF, DOCX, and LinkedIn profile imports
- Customizable scoring criteria per role (skills, experience, education, culture fit signals)
- Bias-reduction filters to ensure fair evaluation across demographics
- Automated email responses with personalized feedback for rejected candidates
- Integration with their ATS (Greenhouse) for seamless workflow
Results
Resume screening time dropped by 70%. Time-to-hire decreased from 45 to 18 days. The quality of shortlisted candidates improved, with hiring managers reporting 90% satisfaction with AI-generated shortlists.
Tech Stack
Project Details
Timeline: 3 weeks
Cost: $5,000
Industry: HR