Manufacturing Quality Data + Internal Tools
Resume
Manufacturing quality, data analysis, and internal software tooling experience for SSD back-end yield improvement and engineering evaluation workflows.
Profile
Manufacturing quality and data-oriented engineer with hands-on experience in SSD back-end yield improvement, NAND-related defect analysis, OCAP/line issue support, and Python-based manufacturing data tools. Worked in semiconductor product optimization, using equipment logs and SSD test logs to identify abnormal defect patterns, distinguish false failures from true quality issues, support root-cause investigation, and monitor yield recovery. Built Python scripts, dashboards, and internal workflow systems to reduce manual reporting effort, improve manufacturing data visibility, and support new product and mass-production evaluation workflows.
Focus Areas
- SSD back-end yield improvement
- NAND-related defect analysis
- OCAP and line issue support
- Equipment and test-log investigation
- False-fail and quality-risk review
- Python-based manufacturing data tools
- Dashboards and internal workflow systems
- New product and mass-production evaluation workflows
Role Fit
- Product Quality Engineer - Data
- Manufacturing Digitalization Engineer
- Manufacturing Quality Data Engineer
- Industrial Software Engineer
- Internal Tools Engineer
- Smart Manufacturing Engineer
- Manufacturing Data Analyst / Engineer
Tools & Stack
Python, Regex, Polars, Matplotlib, Flask, Vue 3, ECharts, MySQL, SQLAlchemy, JWT, WebSocket, Docker, Linux, Nginx, and SQL-style manufacturing data workflows.
Contact
- GitHub
- akaBoyLovesToCode
- Location
- Xi'an, China
- Relocation
- Open to relocate across China