Featured Projects Three live Azure workloads I own end-to-end — CI/CD static delivery, AI-backed search on real content, and full-stack Blazor with actual users. 🔧 Episode Atlas Track TV progress at scale with per-user state and cloud-backed data. What it does: Per-user episode lists, “last watched” markers, and curated metadata links — so long-running franchises stay manageable. Tech used: .NET Blazor, Azure Static Web Apps, Azure Functions, Cosmos DB, GitHub auth. Why it’s impressive: Demonstrates scalable data modelling and cloud-first architecture for user-driven applications. Deployed to AzureImplements authentication / APIs / caching Outcome: Turned a personal “where was I in 900+ episodes?” problem into a maintainable multi-tenant pattern for identity, persistence, and UX for ongoing shows. Links: episodeatlas.com 🔧 Semantic Search AI-powered natural language search for discovering content beyond keywords. What it does: Accepts conversational queries, retrieves meaningfully…
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