Intelligent Technical Candidate Matching & Screening Workspace
Semantic evaluation model and candidate pipeline workspace shortening placement cycles by 11 days and doubling candidate conversions.
Candidate placement cycle shortened by 11 days, with candidate conversion rates doubling.
The Challenge
Recruiters spent dozens of hours parsing thousands of unformatted developer CVs that failed keyword search tools, missing qualified candidates for niche technical roles.
The Solution
Built a semantic candidate evaluation engine paired with a drag-and-drop recruiter pipeline workspace.
Fast, interactive pipeline board allowing recruiters to drag-and-drop candidates, generate client summaries, and schedule interviews.
Evaluates developer experience, GitHub repositories, and skill overlap rather than superficial keyword matching.
PostgreSQL database hosted on GCP Cloud SQL with automated UK GDPR data retention auto-anonymization.
Key Outcomes
Candidate placement cycle shortened by 11 days.
Candidate conversion rates doubled.
Semantic matching based on code repositories and project depth.
Automated UK GDPR data retention auto-anonymization.