Design and ship production-grade AI capabilities for a security testing platform: build persistent semantic context, orchestration engines, adaptive reporting, LLM-driven features, AI pipelines, and integrations; drive projects end-to-end with cross-functional teams and maintain production reliability and safety.

Build and scale backend systems for an enterprise security testing platform: architect services in C#/.NET and Python, design APIs and access control, work with multi-model data (Azure SQL, CosmosDB), implement event-driven long-running workflows, deploy on Azure (Kubernetes, Functions, Container Apps), and support admin UI/Angular frontend. Own end-to-end delivery in cross-functional teams, shipping production-grade, secure, and observable systems.