Hao Xian Chung
I am a passionate full-stack software engineer with a strong background in computer science and artificial intelligence.
About
I am a passionate full-stack software engineer with a strong background in computer science and artificial intelligence. I specialize in developing scalable web and mobile applications using React, TypeScript, and .NET technologies, with extensive experience in Azure cloud services and backend API development. I enjoy collaborating closely with UX teams to create responsive and intuitive user interfaces while optimizing API interactions for performance and reliability.
My work also involves integrating cutting-edge AI solutions like OpenAI’s GPT models with Semantic Kernel to deliver LLM-driven applications, which has significantly enhanced customer satisfaction. I am skilled in automating infrastructure provisioning with Terraform and implementing CI/CD pipelines, which streamline deployments and improve code quality. Beyond development, I have a solid foundation in machine learning, demonstrated through my research and publication on real-time sign language translation using ensemble CNNs.
- 4 years' experience
- Joined August 2025
Industry experience
- Software & Internet
- Education
- Healthcare
More experts in Nottingham, United Kingdom
Work experience
Collaborated with UX teams to create cross-platform and responsive user interfaces using React and TypeScript for web and mobile applications. Optimized API interactions employing React Query for improved performance and error handling. Developed scalable RESTful APIs and event-driven backend services hosted on Azure Functions with C# .NET to support up to 1 million concurrent users. Implemented CQRS architecture on Azure Web Apps to enhance scalability and maintainability. Integrated OpenAI GPT models with the Semantic Kernel for LLM-driven solutions, achieving a 95% customer satisfaction score. Managed databases including Azure Cosmos DB and MySQL using Entity Framework for efficient data handling. Performed load testing with Apache Jmeter and Azure Load Test to ensure server stability under high user load. Automated infrastructure deployment using Terraform to reduce manual errors by 90%. Created CI/CD pipelines in Azure DevOps YAML, reducing deployment times by 70%. Incorporated De
Education
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