KYC Match Engine - Automated Identity Verification

KYC Match Engine is an automated identity verification platform designed to streamline customer onboarding and compliance workflows. The system validates customer information by comparing user-provided details against data extracted from government-issued identity documents using OCR technology.

The platform uses a configurable rule-based matching engine built with Java Spring Boot to perform intelligent similarity checks across fields such as names, addresses, dates of birth, and identification numbers. Matching logic and thresholds can be dynamically configured, allowing flexible verification strategies for different business requirements.

The architecture follows a microservice-based approach where a Python OCR service processes uploaded identity documents and extracts structured text data. Backend services were containerized using Docker and deployed on Azure Kubernetes Service (AKS) to ensure scalability, reliability, and high availability in production environments.

• Developed a KYC Match Engine to automate customer identity verification and onboarding workflows
• Built backend services using Java Spring Boot following scalable microservice architecture principles
• Implemented a configurable rule-based matching engine to compare customer information with OCR-extracted document data
• Designed adjustable similarity thresholds and matching rules for flexible identity verification logic
• Integrated with a Python OCR microservice using REST APIs for automated extraction of text from ID documents
• Processed and validated identity fields such as customer name, address, date of birth, and document numbers
• Created RESTful APIs for document upload, verification requests, matching results, and workflow management
• Used PostgreSQL for storing customer records, verification data, and matching configurations
• Containerized backend and OCR services using Docker for consistent deployment and environment management
• Deployed services on Azure Kubernetes Service (AKS) to improve scalability, reliability, and orchestration
• Focused on building fault-tolerant and production-ready workflows for enterprise-grade identity verification systems

System Architecture

Verification Workflow