Gnanesh Vemuri

Problem

Manual transaction reviews caused delays and high operational cost in identifying suspicious financial activity.

Solution

Designed and implemented a real-time AML rules engine using Java, Spring Boot, and MySQL with configurable risk rules and explainable scoring.

Impact

• 40% reduction in manual reviews
• Real-time alerts for deposits, withdrawals, and payouts
• Auditable decision trail for compliance teams

Problem

Third-party sports data changed frequently, causing data inconsistency and duplicate records.

Solution

Built a scheduled data ingestion pipeline with polling, diff detection, and versioned archival using Java, Spring, and MySQL.

Impact

• Guaranteed data consistency across systems
• Historical data preserved for analytics
• Reduced production issues caused by duplicate updates

Problem

Identity verification logic was tightly coupled with user services, making changes risky and slow.

Solution

Extracted KYC flows into a standalone microservice integrating third-party identity providers with retry logic and status tracking.

Impact

• Clear verification states (Verified, Pending, Failed)
• Improved system resilience
• Easier regulatory compliance updates