Semiconductor fab automation & optimization

Programming language : Python, R

System OS : Windows, Linux

Libraries used: Pandas, Numpy, Pandas, Matplotlib, Pytorch, Tensorflow, Ray, Joblib, Numba, etc

Tags: time series, regression, image, classification, object detection, machine learning, deep learning, XAI

Tasks

• Develop machine learning models to improve predictability and explainability (XAI) of data products
• Test vision algorithms to classify and detect defects in processed semiconductor device products
• Improve algorithm execution speed using parallel computing and high performance complier

Difficulties

• High performance and quality standards
• Variations in data science application (APC, VM, FDC, ADC, etc)

Accomplishment

• Published a research paper and present work in conference
• Patent a new algorithm
• Reduced algorithm (PLS) runtime by 40%