AI Lending Platform

Overview

A leading AI-driven fintech platform transforming financial services in India needed to scale from an on-premises MySQL deployment to a cloud-native architecture capable of handling 3,000–4,000 concurrent users during promotional spikes.

The Challenge

Legacy hardware struggled to handle even simple workloads with query latencies exceeding 500ms. Single-instance databases posed failure risks. Borrower data was not properly encrypted or monitored per regulatory guidelines.

Solution Built

• Amazon RDS for PostgreSQL in Multi-AZ deployment for uninterrupted loan processing.
• Database designed for 200 tables, 140 constraints, 60 indexes, 25 sequences, and 10 triggers.
• Read replicas across zones for reporting and analytics keeping offer generation under 100ms.
• OIDC with GitHub Actions for secure CI/CD publishing container images to ECR.
• RDS Performance Insights with Amazon CloudWatch for complete observability.

Security

• AWS KMS for data at rest and SSL in transit.
• Secrets Manager rotating service passwords every 90 days.
• IAM roles enforcing least-privilege access.
• GuardDuty for anomaly detection without adding latency.

Results

• 99.99% uptime during peak traffic.
• API responses under 100ms.
• RTO under 15 minutes and RPO under 5 minutes.
• Auto-scaling handled 4,000 concurrent connections.
• 50%+ reduction in total cost of ownership.