Atria Institute of Technology
Bachelor of Engineering, Computer Science and Engineering (Data Science)
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I have experience contributing to AI-related projects where I worked with structured datasets, labeling guidelines, and model evaluation workflows to improve data quality. My work involved reviewing and organizing data carefully, following annotation rules consistently, and checking edge cases to make sure the labels were reliable for downstream model training and analysis. I’m also comfortable with the broader workflow around AI data work, including understanding label definitions, spotting ambiguous samples, and iterating when guidelines need clarification. That experience has given me a practical view of how high-quality labeled data supports model performance, especially in use cases like classification, fraud detection, and other supervised learning tasks.
Bachelor of Engineering, Computer Science and Engineering (Data Science)
Class 12, Science
Forward deployed engineer