Universiti Sains Malaysia
Bachelor of Computer Science (Honours), Computer Science
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I am an aspiring AI training and data labeling professional with a strong academic foundation in data training methodologies, Natural Language Processing (NLP), and Named Entity Recognition (NER). Through my studies, I developed a solid understanding of how high-quality labeled data drives model performance, including entity tagging, text classification, and annotation guidelines for consistency and accuracy. I am well-versed in data preprocessing, quality control principles, and bias-aware labeling practices essential for training reliable machine learning models. In addition, I have hands-on exposure to cloud computing environments and Large Language Model (LLM) fine-tuning concepts, including prompt design, supervised fine-tuning workflows, and evaluation metrics. My background in computer science allows me to quickly adapt to annotation tools, follow complex labeling instructions, and collaborate effectively with AI teams. While I am new to formal data annotation roles, my strong technical foundation, attention to detail, and eagerness to learn enable me to contribute high-quality AI training data and scale rapidly in production environments.
Angeline Y. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Bachelor of Computer Science (Honours), Computer Science
Matriculation, Computer Science, Mathematics, Physics, Chemistry
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