AI Hiring Pipeline
Automated the candidate journey end to end, from resume parsing and qualitative screening through technical submissions and team notifications.
The challenge
High application volume made it difficult to evaluate candidates against nuanced, role-specific criteria that generic keyword filters could not capture.
What we delivered
Built an AI system that parses resumes, routes candidates, scores them against expert criteria, sends Slack notifications, and evaluates GitHub submissions.
The problem we solved
Scaled qualitative candidate evaluation in a way that mirrors recruiter judgment instead of relying on basic keyword matching.
Tech stack
Outcome / impact
Processed more than 30,000 candidates with approximately 97% agreement to human reviewers, reducing manual work across every screening stage.
Who this helps
High-growth companies that need scalable, high-quality talent screening beyond traditional applicant tracking systems.
Key capabilities demonstrated
- Multi-agent AI pipelines
- Unstructured data parsing
- Custom LLM evaluation logic
- Workflow orchestration