Built an architecture for instant approvals backend

Designed an architecture that makes intelligent decisions
in milliseconds - perfect for fraud detection, approvals,
and access control.

The Challenge:
- Process 50K+ events per second
- Score each event with ML models
- Respond in under 500ms
- Archive everything for compliance

The Solution:
- Stream processing (Apache Flink)
- ML inference (AWS SageMaker)
- Feature store (DynamoDB)
- Lambda architecture (hot + cold paths)

Real-World Applications:
- Detect credit card fraud as it happens
- Approve insurance claims in real-time
- Control network access with zero-trust
- Monitor IoT devices & send commands

Questions? Reach out on https://www.linkedin.com/in/arif-rahman-da/