● Developed a control automation framework using .NET Core, where controls were implemented to align with business requirements.

● Utilized CI/CD tools such as Jenkins and Harness to deploy services, which generated artifacts and deployed them onto Kubernetes.

● Integrated a gRPC endpoint within the architecture, enhanced service functionality, and improved transmission efficiency by 45%.

● Managed UI path orchestrator for automated bot processes, ensuring job success. Conducted log analysis to identify and troubleshoot issues and notified developers of bugs identified for resolution.

● Developed management system using the Thingworx platform, leveraging T-SQL and JavaScript for querying and processing the data.

● Retrieved, parsed, and inserted FTP server data into the database. Executed scheduled jobs to detect abnormalities and promptly sent email notifications to customers. Achieved a reliability rate of approximately 99.36%.

James Chung Wang sid850824@gmail.com Page Two

● Enhanced production manufacturing line process by developing a microservice that interfaced with an AI model for product defect assessment. This initiative significantly improved efficiency by minimizing overkill and underkill rates in subsequent production cycles.

● Modified system architecture in the AI project for performance tuning, resulting in an 82% acceleration of data transfer time.

● Constructed a web API with Flask that communicates with an AI model, which provided accurate predictions of iPhone case dyeing times to clients based on provided values.

● Developed a Bootstrap and Flask app for image downloads from Azure Blob storage. This tool, boosting data scientists' efficiency by 5x, interfaces with an AI model for comparative analyses and identifies the most suitable one.