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湯子緯 Aston Tang
I'm ever a semiconductor equipment engineer with 4 years of hands-on experience at TSMC, specializing in lithography track systems (LIT). I have led and supported critical projects involving equipment maintenance, process optimization, and troubleshooting in high-volume manufacturing environments.
Currently, I'm transitioning into the AI and data analytics field, with a strong focus on predictive maintenance, anomaly detection, and smart factory applications. My goal is to bridge domain expertise in semiconductor manufacturing with AI-driven solutions to enhance equipment reliability and operational efficiency.
I’m actively seeking opportunities that allow me to leverage both engineering and AI skills to build intelligent systems and drive digital transformation in the industry.
新竹市, 台灣
Work Experience
Equipment Module Associate Engineer • TSMC 台積電
Jan. 2020 - Oct. 2024
-Handle Lithography equipment.
-Warm up and trouble solve with high tech. equipment.
-Improve and enhance the efficiency of equipment.
-Plan and execute the analysis or defect detection projects.
-Communicate with cross function engineers or vendors.
EDUCATION
學歷
National Yang Ming Chiao Tung University
M.S. in Degree Program of Automation and Precision Engineering (In Progress)
Expected Start: Sep. 2025
陽明交大雷射系統研究中心
半導體AI與ChatGPT跨領域班(In Progress)
2025
National Chang-hua University of Education
B.S. in Department of Mechatronics Engineering
2012 - 2016
National Taiwan University
M.S. Graduate Studies in Bio-Industrial Mechatronics Engineering (Degree Incomplete)
2017 - 2019
Skills
- Competitor analysis
- Team Management
- Communication
Semiconductor Equipment & Process
Lithography Track Systems (LIT) operation and maintenance
Equipment troubleshooting and process optimization
Yield improvement and downtime reduction
Experience with TPM, OEE, SPC, and FDC
Cleanroom environment operation and safety protocols
Root Cause Analysis (RCA) and problem-solving in high-volume manufacturing
AI & Data Analytics (In Progress / Hands-on Projects)
Python (Pandas, NumPy, scikit-learn, Matplotlib)
Machine Learning & Anomaly Detection
Predictive Maintenance applications
Real-world AI project development (ongoing at NYCU)
Language
- Mandarin- Native
- English - Medium (TOEIC:765 )
- Japanese - Basic
湯子緯 Aston Tang
I'm ever a semiconductor equipment engineer with 4 years of hands-on experience at TSMC, specializing in lithography track systems (LIT). I have led and supported critical projects involving equipment maintenance, process optimization, and troubleshooting in high-volume manufacturing environments.
Currently, I'm transitioning into the AI and data analytics field, with a strong focus on predictive maintenance, anomaly detection, and smart factory applications. My goal is to bridge domain expertise in semiconductor manufacturing with AI-driven solutions to enhance equipment reliability and operational efficiency.
I’m actively seeking opportunities that allow me to leverage both engineering and AI skills to build intelligent systems and drive digital transformation in the industry.
新竹市, 台灣
Work Experience
Equipment Module Associate Engineer • TSMC 台積電
Jan. 2020 - Oct. 2024
-Handle Lithography equipment.
-Warm up and trouble solve with high tech. equipment.
-Improve and enhance the efficiency of equipment.
-Plan and execute the analysis or defect detection projects.
-Communicate with cross function engineers or vendors.
EDUCATION
學歷
National Yang Ming Chiao Tung University
M.S. in Degree Program of Automation and Precision Engineering (In Progress)
Expected Start: Sep. 2025
陽明交大雷射系統研究中心
半導體AI與ChatGPT跨領域班(In Progress)
2025
National Chang-hua University of Education
B.S. in Department of Mechatronics Engineering
2012 - 2016
National Taiwan University
M.S. Graduate Studies in Bio-Industrial Mechatronics Engineering (Degree Incomplete)
2017 - 2019
Skills
- Competitor analysis
- Team Management
- Communication
Semiconductor Equipment & Process
Lithography Track Systems (LIT) operation and maintenance
Equipment troubleshooting and process optimization
Yield improvement and downtime reduction
Experience with TPM, OEE, SPC, and FDC
Cleanroom environment operation and safety protocols
Root Cause Analysis (RCA) and problem-solving in high-volume manufacturing
AI & Data Analytics (In Progress / Hands-on Projects)
Python (Pandas, NumPy, scikit-learn, Matplotlib)
Machine Learning & Anomaly Detection
Predictive Maintenance applications
Real-world AI project development (ongoing at NYCU)
Language
- Mandarin- Native
- English - Medium (TOEIC:765 )
- Japanese - Basic