Nor Sakinah binti Md Othman

Designed, built, and optimized CI/CD pipelines using Azure DevOps for desktop (.NET Framework) and web (Angular) applications, reducing release time by 50% and significantly improving deployment reliability. Standardized and enhanced multi-site deployment workflows, increasing release frequency from one site per day to all sites in one day, reducing vendor-dependent manual processes by 80% and generating approximately €3.5K in cost savings. Partnered with DevOps and development teams to deploy cloud-native applications on OpenShift, enabling continuous integration, automated delivery, and improved system scalability. Developed and maintained scalable full-stack applications using C#, .NET, Angular, and RESTful APIs, supporting thousands of active users across manufacturing sites. Migrated a legacy .NET Framework web application to a modern Angular frontend, improving performance, responsiveness, and user experience by approximately 60%. Served as application owner for a critical equi

Led and delivered five digital factory initiatives including anomaly detection, 3D factory monitoring, automated line call systems, e-checksheet, and factory layout management, supporting the move toward smart manufacturing. Designed and implemented a 3D factory monitoring and visualization system using C# and Godot, enabling real-time visibility of shop-floor operations. Reduced daily factory monitoring effort by approximately 70% through automated digital monitoring and visualization. Automated line call triggering and progress reporting, eliminating manual updates and significantly improving response time and operational visibility. Conducted applied research and delivered a working anomaly-detection prototype using machine learning and deep learning, integrating Raspberry Pi HQ cameras for real-time data capture. Presented project proposals to senior leadership and delivered internal training on .NET-based web development.