[
"Nest.js"
]
[
"MongoDB"
]
[
"AWS S3"
]
[
"Basiq",
"Plaid"
]
[
"GitHub Actions"
]
[
"Next.js"
]
Cash Flow Manager
Introduction
Lead development of a SaaS platform from ground up, handling complex financial data management
Architected a scalable system that processes thousands of transactions in real-time while maintaining data consistency and accuracy
Designed and implemented secure Open Banking API integrations with multiple financial institutions, enabling automated transaction synchronization
Features
Interactive Financial Dashboards
- Interactive financial dashboards feature real-time charts using optimized rendering techniques that handle large datasets efficiently
- Virtual pagination and fast loading keep dynamic, sortable tables responsive even with 10,000+ transactions
- The import/export system supports CSV, Excel, and JSON formats with robust data validation and error handling
Intelligent Cash Flow Prediction Engine
- A machine learning-based prediction engine analyzes historical patterns to forecast cash flows with 90%+ accuracy
- Automated transaction categorization uses pattern recognition and rule-based classification algorithms
- Users can simulate multiple financial scenarios and compare outcomes through the scenario modeling system
Secure Open Banking API Integration
- Secure integrations with Plaid and Basiq APIs follow OAuth 2.0 and Open Banking standards
- Token management includes automatic refresh, encryption at rest, and secure credential storage
- The multi-bank account aggregation system lets users connect and sync transactions from multiple financial institutions
- Webhook handlers process real-time transaction updates with idempotency and retry mechanisms built in
Distributed Data Synchronization System
- The synchronization system handles concurrent updates from bank feeds, manual entries, and scheduled transactions reliably
- Optimistic locking and conflict resolution algorithms prevent data inconsistencies and duplicate entries
- An event-driven architecture uses message queues for asynchronous processing of financial data updates
- The database schema includes proper indexing and query optimization to support real-time calculations on large datasets
Real-Time Multi-Currency System
- Real-time currency exchange rate APIs include caching and fallback mechanisms for maximum reliability
- The currency conversion engine supports 150+ currencies with automatic rate updates and historical tracking
- Multi-currency transactions are normalized to a base currency for accurate financial reporting
DevOps & Infrastructure
- CI/CD pipelines using GitHub Actions automate testing, building, and deployment processes
- Docker containerization ensures consistent environments across development and production
- Database queries were optimized with connection pooling to handle high concurrent loads
- Monitoring, logging, and error tracking provide comprehensive production observability