Yan Ting(ryan) Lin
About Yan Ting(ryan) Lin
Yan Ting (Ryan) Lin is a Staff Product Engineer at onsemi, specializing in advanced process optimization and yield improvement in the semiconductor industry. He has a Master's degree in Electrical and Electronics Engineering from National Cheng Kung University and has held various engineering roles at companies such as TSMC, Parade Technologies, and Phison Electronics.
Work at Onsemi
Currently, Yan Ting Lin serves as a Staff Product Engineer at Onsemi, a position he has held since 2022. In this role, he is responsible for leading product yield improvement projects as part of the Advanced Solution Group. His responsibilities include reviewing and organizing process change projects, optimizing testing flow, and minimizing testing costs. He collaborates with Design and Test Engineering teams to address issues related to field returns, ensuring high-quality output and efficiency in operations.
Previous Experience in Semiconductor Industry
Prior to his current role, Yan Ting Lin worked at several notable companies in the semiconductor industry. He was employed at TSMC as a Process Integration Engineer from 2016 to 2019, where he focused on diagnosing and resolving chip problems to enhance integrated circuit (IC) quality. He then transitioned to Parade Technologies, Inc. as a Quality Control Engineer from 2020 to 2022, and earlier worked at Phison Electronics Corps. as an IC quality engineer for a brief period in 2020.
Education and Expertise
Yan Ting Lin obtained a Master's degree in Electrical and Electronics Engineering from National Cheng Kung University. His academic background is complemented by practical experience as a Research Assistant at the same university from 2014 to 2016. He specializes in advanced process optimization and yield improvement within the semiconductor sector, demonstrating strong skills in subcontractor management and test cost reduction.
Technical Skills and Tools
Yan Ting Lin possesses a robust set of technical skills relevant to his field. He is proficient in data analysis tools such as JMP, Minitab, Tableau, silicondash, Exensio, and Python. His expertise includes advanced statistical techniques like Statistical Process Control (SPC), DPAT, SPAT, capability indices (cpk), and Gauge Repeatability and Reproducibility (GR&R). He has experience in programming with Python and PERL, which supports his work in process optimization and yield enhancement.
Contributions to Quality Improvement
Throughout his career, Yan Ting Lin has made significant contributions to quality improvement in semiconductor manufacturing. He implemented DPAT and SPAT methodologies to enhance IC quality and handled low-yield lot disposition through Material Review Board (MRB) reviews. His efforts in optimizing testing processes and collaborating with various teams have been pivotal in addressing quality issues and improving overall product performance.