Semiconductor
Semiconductor wafer defect detection project
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I have extensive experience in data labeling and AI training data management, built through hands-on work in computer vision projects and advanced research. During my university studies, I completed a computer vision project that deepened my understanding of image and video annotation, allowing me to hone my skills in labeling data for object detection and segmentation. Additionally, in my research internship in Taiwan, I created an entire dataset from scratch, taking full responsibility for the labeling process as part of a project focused on semiconductor defect detection. This experience gave me invaluable insight into creating high-quality datasets for complex models, further strengthening my expertise in AI training data preparation. In addition, I'm skilled in managing data pipelines and preprocessing for large language models (LLMs), which adds versatility to my work in AI. I specialize in feature engineering and data preparation for recommendation engines and search functionalities powered by LLMs. My attention to detail and commitment to quality control help me ensure accuracy and consistency in all data labeling tasks, setting me apart as a reliable and thorough professional in AI training data preparation.
Semiconductor wafer defect detection project
Bachelor in Electronics and Communication Engineering, Electronics and Communication, Artificial Intelligence
AI Developer