Case study
AI-Driven Technical Hiring System
Built an AI-assisted technical hiring platform that connects candidate assessment, proctoring, and ATS workflows into one structured pipeline.
Overview
Hiring teams were running assessment, integrity checks, and applicant tracking as separate tools. We unified them so recruiters get skill and integrity signal in the system they already use — without pulling engineers into every first-pass screen.
Related project: Technical Hiring System.
The Challenge
That fragmentation slowed every hire and made results hard to trust, because scoring and proctoring signals rarely made it back into the ATS record recruiters and hiring managers actually used.
Business impact:
- Recruiters re-entered the same candidate data across disconnected tools
- Proctoring flags and technical scores often never reached the ATS
- Every manual handoff added delay in a market already competing for candidates
Approach
How do you score technical ability consistently, not just quickly?
Manual review varied reviewer to reviewer and ate engineering hours. We built AI-assisted assessment that scores technical evaluations consistently and cuts that first-pass review load.
How do you catch integrity issues without bolting on a separate tool?
A standalone proctoring product meant one more system to check. We put integrity checks in the same pipeline as assessment — session signal alongside the test, not after it.
How do results reach the recruiter’s existing workflow?
Siloed scores never shaped hiring decisions. We integrated results into the existing ATS so skill and integrity data land where recruiters already work.
Tech Stack
Outcome
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