University of Canterbury
Master of Science, Astronomy
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I have a strong background in data annotation and AI training, with hands-on experience as an AI Trainer where I created and evaluated large language model datasets in physics, mathematics, programming, and English comprehension. My academic research has involved developing machine learning pipelines—using Python, TensorFlow, Keras, and scikit-learn—to detect and classify astronomical objects, as well as processing and analyzing large, complex scientific datasets. I am skilled in designing and labeling data for both structured and unstructured problems, and I excel at communicating complex technical feedback clearly. My experience spans both independent and collaborative projects, giving me a comprehensive understanding of the data lifecycle from collection and annotation to model evaluation and deployment.
Andrew M. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Master of Science, Astronomy
Bachelor of Science with Honours, Physics
Astronomy Research Intern
Private Science and Maths Tutor