Kevin Dang

I’m a Senior .NET & AI Engineer with 10+ years of experience building scalable enterprise applications, cloud-native platforms, and AI-powered solutions across education, finance, healthcare, and enterprise domains. I specialize in full SDLC delivery—from requirements analysis and system architecture to implementation, testing, deployment, and production optimization—while applying Object-Oriented Design, SOLID principles, Clean Architecture, and modern engineering practices.

In my current role, I lead the development of high-performance backend systems using C# (.NET 8/7), ASP.NET Core, Entity Framework Core, SQL Server, and PostgreSQL, designing scalable RESTful APIs and microservices for high-volume enterprise workloads. I have optimized database queries, stored procedures, and indexing strategies to reduce API latency by 30–40%, and built distributed, event-driven architectures using Kafka, Azure Service Bus, Docker, and Kubernetes.

Alongside my .NET expertise, I build AI-native applications and intelligent automation solutions by integrating Large Language Models (LLMs), OpenAI, Azure OpenAI, Claude, Gemini, Ollama, and Hugging Face models into enterprise platforms. I have designed Retrieval-Augmented Generation (RAG) systems, AI assistants, and agent-based workflows using LangChain, Semantic Kernel, vector databases, embeddings, and prompt engineering to enable knowledge retrieval, document intelligence, workflow automation, and improved business decision-making.

I also develop modern full-stack applications using React, Angular, TypeScript, and REST APIs, while ensuring reliability through automated testing with xUnit/NUnit, CI/CD pipelines, and cloud deployment practices across AWS and Azure. I have experience modernizing legacy monoliths into scalable distributed systems, delivering secure applications including HIPAA-compliant healthcare solutions, and mentoring engineering teams on software architecture, cloud technologies, and AI adoption.

I’m passionate about combining strong software engineering fundamentals with emerging AI technologies to build secure, scalable, and intelligent applications that create measurable business impact.