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SaaS & Product DevelopmentVerified Production System

AI-Powered Recruitment SaaS

AI-native hiring & applicant tracking engine with automated screening and talent rediscovery

An AI-native hiring and applicant tracking platform that helps organizations publish jobs, screen candidates, manage recruitment pipelines, and automate candidate engagement from one unified platform.

Verified Impact & Reported Metrics
1,800 hrs/yrTime Saved at 2,500 Screenings/moSaves ~150 hrs/month (~1,800 hrs/year) at 2,500 CV screenings per month workload
360 hrs/yrTime Saved at 500 Screenings/moSaves ~30 hrs/month (~360 hrs/year) at 500 CV screenings per month workload
95%Candidate Match AccuracyPlatform-reported candidate matching precision across evaluated profiles
50,000+Candidates AnalyzedTotal candidate profiles processed through the platform

⚠️ The Operational Challenge

High-volume hiring teams spend dozens of hours manually reviewing CVs, filtering unqualified applicants, and drafting repetitive follow-up emails, resulting in slow candidate response times and significant recruiter fatigue.

🛠️ The Engineered Solution

Yugen engineered an end-to-end recruitment SaaS architecture combining GPT-powered candidate analysis, configurable visual pipeline stages, automated personalized email sequences, and a 3-layer caching engine to minimize redundant AI processing costs.

⚡ Core Capabilities Delivered

✓GPT-powered recruitment automation and candidate analysis
✓Visual hiring pipeline with configurable recruitment stages
✓Personalized, automated candidate emails and status notifications
✓AI-generated candidate insights and matching scores
✓Private talent storage and talent rediscovery repository
✓Embeddable branded careers pages for external corporate websites

📈 Reported Results & Business Value

✓
At 500 CV screenings per month, saves approximately 30 hours monthly (360 hours annually).
✓
At 2,500 CV screenings per month, saves approximately 150 hours monthly (1,800 hours annually).
✓
Platform-reported candidate match accuracy of 95%.
✓
Platform-reported 99% decrease in bias across evaluated candidate sets.
✓
Over 50,000 candidates analyzed across the system to date.
✓
Three-layer caching system actively filters duplicate applications to reduce external AI API overhead.

⚙️ Technical Architecture & Implementation

  • >GPT-based structured analysis engine for contextual CV parsing
  • >Three-layer caching architecture preventing duplicate model invocations
  • >Custom embeddable widget engine for third-party corporate careers pages
  • >Configurable Kanban-style stage management with persistent state synchronization

Relevant Delivery Domains:

Custom Software & ToolsAI Business Automation

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