🏦 Loan Management Systems (LMS)

Built comprehensive loan aggregator management systems from scratch, handling the entire loan lifecycle from application to disbursement and collection. These systems process thousands of loan applications daily while maintaining strict regulatory compliance.

System Architecture

Designed scalable microservices architecture to handle high-volume loan processing with real-time decisioning capabilities and robust audit trails.

Core Services:

  • Application Service - Handles loan applications and initial validation
  • Underwriting Engine - Automated risk assessment and decisioning
  • Document Service - Secure document storage and verification
  • Payment Service - EMI calculations and payment processing
  • Collection Service - Automated collection and recovery
  • Reporting Service - Regulatory and business reporting

Key Features Built

📋 Loan Application Processing

  • Multi-channel Application Capture - Web, mobile, and API-based applications
  • Real-time Validation - Instant field validation and business rule checking
  • Document Upload & Verification - OCR-based document processing
  • Application Scoring - Initial credit scoring and risk assessment
  • Status Tracking - Real-time application status updates

🎯 Automated Underwriting

  • Risk Assessment Engine - ML-based credit risk evaluation
  • Policy Engine - Configurable business rules and policies
  • Decision Matrix - Automated approval/rejection decisions
  • Manual Review Queue - Cases requiring human intervention
  • Decision Audit Trail - Complete decision history and reasoning

📄 Document Management

  • Secure Storage - Encrypted document storage with access controls
  • Document Verification - Automated verification of income, identity, and address
  • Digital Signatures - Legally compliant e-signature integration
  • Document Templates - Dynamic document generation
  • Compliance Tracking - Regulatory document retention policies

💰 Payment Processing

  • EMI Calculator - Dynamic EMI calculation with different schemes
  • Payment Scheduling - Automated payment scheduling and reminders
  • Multiple Payment Methods - NACH, UPI, card, and bank transfers
  • Payment Reconciliation - Automated reconciliation with bank statements
  • Late Fee Calculation - Automated late fee and penalty processing

🛡️ Risk Management

  • Fraud Detection - ML-based fraud detection algorithms
  • Portfolio Monitoring - Real-time portfolio health monitoring
  • Early Warning System - Proactive risk identification
  • Collection Strategies - Automated collection workflows
  • Regulatory Reporting - Automated regulatory compliance reports

Technical Challenges Solved

🔒 Security & Compliance

  • Data Encryption - End-to-end encryption for sensitive financial data
  • Access Controls - Role-based access with audit logging
  • Regulatory Compliance - RBI, NBFC, and banking regulations
  • Data Privacy - GDPR and local privacy law compliance
  • Audit Trails - Complete audit trails for regulatory requirements

⚡ Performance & Scalability

  • High Volume Processing - Handle 10,000+ applications daily
  • Real-time Decisioning - Sub-second loan decision responses
  • Database Optimization - Optimized queries for large datasets
  • Caching Strategy - Multi-layer caching for performance
  • Load Balancing - Horizontal scaling across multiple instances

🔗 Integration Complexity

  • Banking APIs - Integration with multiple banking systems
  • Credit Bureaus - Real-time credit score fetching
  • Payment Gateways - Multiple payment provider integrations
  • Document Services - OCR and verification service integration
  • Communication APIs - SMS, email, and push notification services

Business Impact

  • Reduced Processing Time - 80% reduction in loan processing time
  • Improved Approval Rates - 25% increase in approval rates through better risk assessment
  • Cost Reduction - 60% reduction in operational costs
  • Compliance Automation - 100% automated regulatory reporting
  • Customer Experience - Real-time status updates and faster disbursals

Technologies Used

Backend

  • Java Spring Boot / Node.js
  • PostgreSQL / MongoDB
  • Redis for caching
  • Apache Kafka for messaging
  • Elasticsearch for search

Frontend & Mobile

  • React.js / Angular
  • React Native for mobile
  • Progressive Web Apps
  • Material-UI / Ant Design

Infrastructure

  • AWS / Azure cloud
  • Docker containers
  • Kubernetes orchestration
  • CI/CD pipelines
  • Monitoring & alerting

AI/ML

  • Python for ML models
  • TensorFlow / PyTorch
  • Credit scoring algorithms
  • Fraud detection models
  • Document OCR processing