Hao-Lun Lin

Experience

1. Machine Learning Engineer

   KLA

   Jan 2025 — Present · Austin, TX, US

   Collaborated with the MLOps team to deploy distributed ML systems via MLflow and Ray, boosting model serving throughput by 360% with batch processing- Leveraged state-of-the-art instance segmentation models to improve defect signature detection and count affected dies in wafer maps to support root cause analysis (RCA) in semiconductor fabs- Designed a synthetic data generation pipeline for wafer defect signatures—supporting classification, segmentation, and captioning—to improve model generalization and address data privacy concerns- Utilized generative AI methods with vision-language models (VLMs) for semiconductor defect classification- Collaborated with cross-functional teams to build machine learning–based regression solutions supporting customer defect of interest (DOI) needs.

Education

• National Chengchi University

  Bachelor of Science - BS, Computer Science

• UC Irvine

  Master of Software Engineering (MSWE)

• National Chengchi University

  Bachelor of Arts - BA, Economics

• National Taiwan University

  Master's degree, Computer Science (MSCS)