Enterprise Backend, Fraud & Observability

The engineering half of the fraud platform: microservices, caching, orchestration and the monitoring that turns an incident into a graph instead of an argument.

API response times cut ~35% via query optimisation and Redis caching

Kubernetes rollout cutting deployment downtime by 70%

Prometheus + Grafana monitoring improving incident response by 50%

Real-time analytics pipelines processing 100K+ events/day

Fuzz, chaos and mutation testing on payment paths to prove circuit-breaker behaviour