Engineer III, Semiconductor Product Optimization
Samsung Electronics · Xi'an, China
2020–Present
Product Quality & Yield Engineering
- Investigate SSD back-end yield excursions using equipment logs, SSD test logs, fail-code patterns, retest behavior, and manufacturing history.
- Distinguish false failures from genuine product-quality risks and support OCAP and production-line issue response.
- Connected process, equipment, material, and screening evidence during multi-factor SSD failure investigations.
- Supported corrective actions that reduced collected and confirmed FET burnout from 11 ppm to 2 ppm, with p-value < 0.001.
- Monitor post-action recovery through PPM, yield, recurrence, CPK, and statistical validation, including new-product and mass-production evaluations.
Manufacturing Digitalization & Internal Systems
- Build Python tools, dashboards, and full-stack workflow systems for engineering evaluation, manufacturing-data visibility, and reporting automation.
- Developed an authenticated full-stack internal platform for engineering evaluation workflows and manufacturing-data review.
- Standardized relational product, process-step, failure-code, analysis, and workflow data while reducing repetitive manual reporting.
- Translated engineering requirements into maintainable workflows with clearer evaluation status and manufacturing evidence.
Earlier Engineering Automation
- Automated repeated yield analysis, manufacturing-log parsing, measurement extraction, trend visualization, and report preparation with Python.
- Turned raw test records into structured tables containing product, measurement, test-result, and process context.
- Introduced reusable inputs, visible errors, and version-controlled changes as personal scripts became shared engineering tools.