• Designed and deployed real-time Etch process monitoring system, reducing manual effort by 84% annually.
• Automated daily MQC indicator collection and reporting, saving 32% report preparation time.
• Implemented edge-based anomaly detection on Jetson Nano, reducing manual visual inspections by 43% annually.