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YASH MORADIYA
Mid-Level Software Engineer specializing in .NET, Azure, and microservices
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About
Full-stack .NET/Azure engineer with end-to-end ownership of policy management microservices (React/TypeScript + C#/ASP.NET Core + Kubernetes) delivering significant performance and quality improvements (e.g., response time -35%, defects -30%, CSAT +18%). Also productionized an AI-assisted analyst workflow using Azure OpenAI with a RAG pipeline on Azure Cognitive Search, including rigorous prompt versioning, guardrails, and measurable impact (review time -40%, errors -55%). Led incremental legacy modernization via Strangler Fig and dual-write migrations with zero production regressions.
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Key Strengths
- Owned end-to-end delivery across frontend, backend, data, and infrastructure (React/TypeScript + C#/ASP.NET Core + Azure/Kubernetes)
- Built and operated production microservices with strong quality practices (xUnit unit/integration tests; 92% code coverage)
- Delivered measurable reliability/performance gains (response time -35%, deployment frequency +40%, rollback incidents -20%, production defects -30%, CSAT +18%)
- Productionized AI-native RAG workflow with Azure OpenAI + Azure Cognitive Search; strong prompt/tooling discipline (versioned prompts, strict JSON schema, few-shot)
- Implemented multi-layer AI guardrails (content safety, injection sanitization, schema validation, human review, compliance constraints)
- Demonstrated AI value with production metrics (review time -40%, summary errors -55%, clarification tickets -30%) and user interviews
- Led zero-regression legacy modernization using Strangler Fig + gateway routing, dual-write migration, feature flags, and contract tests (SpecFlow)
- Effective debugging and refactoring using AI-assisted development tools (identified Protobuf nullable-field issue; improved architecture and test coverage)
- Strong stakeholder alignment and roadmap shaping with CTO via discovery, impact/effort tradeoffs, and demo-driven delivery
- Able to context-switch across multiple client projects and ship quickly (JWT-secured API with Redis caching delivered in 11 days)
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