PayAggregator
Multi-tenant payment processing platform handling millions in daily transactions with real-time analytics and ML-based fraud detection.
Senior Full Stack Developer
PayAggregator
Challenge
Design and build a payment processing system capable of handling high-volume multi-tenant transactions with real-time fraud detection, sub-second analytics, and 99.95%+ uptime requirements.
Approach
Designed microservices architecture with event-driven communication via message queues. Built a real-time analytics pipeline with sub-second latency and an ML-based fraud detection system with continuous model retraining.
Key Responsibilities
Designed microservices architecture for multi-tenant isolation
Implemented event-driven architecture with RabbitMQ
Built real-time analytics pipeline with sub-second latency
Created ML-based fraud detection system
Established 85%+ code coverage testing strategy
Results
- 01
$50M+ monthly transaction processing
- 02
99.95% uptime across all services
- 03
60% fraud loss reduction via ML detection
- 04
Sub-100ms API response times (95th percentile)
- 05
500+ merchants supported on platform