Outlier Whitebeard Project
Evaluating the quality of two AI model responses to STEM prompts, and then rewriting the preferred response if it contains formatting errors.
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I'm an analytically minded professional with a strong foundation in engineering, automation, and information technology. I hold an MSc in Automation, Control and Robotics from Sheffield Hallam University and an MSc in Information Technology, which give me a deep understanding of how intelligent systems are built, trained, and validated. During my postgraduate research, I directly applied artificial neural network methodologies to classify physical activity types from accelerometry datasets. This work involved data collection, feature labelling, pattern analysis, and output validation, all of which are central to modern AI training pipelines. My cybersecurity experience at Amdari Inc. further sharpened my ability to identify subtle patterns, assess data quality and distinguish signal from noise. These are skills I consider directly transferable to reviewing and labelling AI training datasets. I'm a self-motivated learner who bridges engineering rigour with emerging AI knowledge, and I'm well positioned to contribute to data labelling, content review and AI-model evaluation tasks.
Evaluating the quality of two AI model responses to STEM prompts, and then rewriting the preferred response if it contains formatting errors.
Master of Science, Automation, Control, and Robotics
Master of Science, Information Technology
Healthcare Assistant
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