Lead quality engineering for Accident Management by defining test strategy, writing automation-ready acceptance scenarios, designing test frameworks, improving CI/CD signals, partnering with QA automation engineers, reviewing automation PRs, and establishing release-readiness evidence across UI, APIs, and observability.

Define and deliver architectures and prototypes for new, large-scale, highly available software systems. Research and qualify emerging technologies, design extensible systems, produce technical documentation, mentor engineers, and support transitions to operational teams while applying cloud-native, event-driven, and generative-AI approaches.