Case Study: AMARIS
CV Skills Analyzer
High-Level Impact
Reduced candidate screening time from 2 weeks to instant while improving match accuracy by 85% and establishing a scalable recruitment intelligence platform.
Project Metadata
- CategoryAI / Cloud Automation
- ClientAMARIS
Core Components
React-based UI for consultant managers
Cloud Run 'CVProcessor' service with custom Document AI model
Cloud Run 'SkillsExtractor' integrating Lightcast API
Cloud Run 'JobAnalyzer' for job requirement processing
Custom Vertex AI Gemini model for candidate matching
BigQuery data warehouse with structured candidate/job datasets
Looker Studio dashboard for recruitment analytics
Business Objectives
Accelerate time-to-hire by eliminating manual CV review processes
Improve candidate-job matching precision through standardized skills analysis
Establish data-driven recruitment insights and reporting capabilities
Achieve 95%+ accuracy in CV data extraction and skills identification
Process 500+ CVs within 24 hours
Implement real-time candidate ranking with weighted suitability scores
Build secure, compliant data handling for sensitive candidate information
Solution Design
"Streamline AMARIS recruitment process through automated CV analysis, skills extraction, and intelligent candidate-job matching to eliminate manual screening bottlenecks."
1. Manager enters Job ID. 2. 'CVProcessor' calls Mantu ATS API to retrieve CVs. 3. Document AI OCR extracts structured data. 4. 'SkillsExtractor' sends text to Lightcast API for normalization. 5. 'JobAnalyzer' fetches and processes job requirements. 6. Gemini model analyzes fit and generates weighted rankings.