Work experience

• Technical Lead & Field Application Engineer

  CasiVision

  2025.08-Current

  (9 months)

  Provide on-site technical ownership for lamination and AOI machines used in iPhone glass manufacturing. Act as the primary technical interface between Apple and regional manufacturing partners. Lead machine installation, commissioning, start-up, and performance stabilization at customer factories. Drive daily production performance by ensuring machines meet Apple’s strict output, yield, and quality standards. Troubleshoot complex equipment and process issues, minimizing downtime and restoring production quickly. Collaborate closely with engineering, QA, and operations teams to improve process reliability and throughput. Travel extensively across overseas sites to support Apple-certified production lines. Monitor machine performance, analyze data, and recommend process improvements to increase efficiency. Manage spare parts planning and resource allocation to prevent production interruptions. Support project planning, scheduling, and coordination with HQ and regional stakeholders. Maintain strong communication with Apple customers to align technical solutions with production needs. Ensure compliance with safety standards and best practices across all supported sites. Contribute to continuous improvement initiatives to enhance machine stability and operational excellence.
• Field Application Engineer

  CHANGYUAN TECHNOLOGY GROUP(CYG)

  2024.09-2025.09

  (a year)

  Installed and commissioned automation equipment alongside mainland China machine manufacturers at customer facilities. Supported production lines manufacturing Omnipod devices for diabetes patients in a regulated medical device environment. Maintained robotics and automation systems to ensure maximum uptime and stable production output. Diagnosed and resolved daily equipment and process issues to minimize downtime and production losses. Led and contributed to safety improvement initiatives to enhance workplace safety and compliance. Trained and mentored local technicians on machine operation, troubleshooting, and preventive maintenance. Worked closely with cross-functional teams to improve equipment reliability and production efficiency. Monitored machine performance and implemented continuous improvement actions to optimize operations. Provided on-site technical support during ramp-up and mass production phases.
• Project Engineering Intern

  Kian Joo Can Factory Berhad

  2022.11-2023.02

  (4 months)

  Developed IoT-based solutions to monitor Overall Equipment Effectiveness (OEE) by integrating sensors with a slitting machine, enabling real-time performance tracking. Utilized Node-RED for data orchestration, HMI for real-time monitoring, and PLC for machine control to implement a comprehensive and efficient system. This project enhanced expertise in sensor integration, data acquisition, and cloud-based analytics, contributing to improved machine efficiency and productivity.

Educational experience

• Tunku Abdul Rahman University of Management & Technology

  Bachelor of Mechatronics Engineering

  2020.06-2024.06

  (4 years)

Languages