CODING EXPERT
AUDITING LARGE LANGUAGE MODELLS IN VARIOUS ASPECTS
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I have hands-on experience in data labeling and AI training data curation, having worked on diverse projects through leading platforms such as lLabelbox, Scale AI, and Outlier. My work has involved high-precision annotation for computer vision, NLP, and audio datasets, contributing directly to the development of state-of-the-art machine learning models. I’ve handled tasks like bounding box annotation, image segmentation, entity extraction, sentiment tagging, transcription, and QA evaluation across varied domains such as autonomous driving, e-commerce, medical data, and generative AI alignment. What sets me apart is my consistent track record of quality, speed, and deep domain understanding. I’ve collaborated with cross-functional teams, followed detailed project guidelines, and adapted to evolving quality standards while maintaining high accuracy scores. My ability to understand model behavior and refine training data accordingly has helped improve model outputs and reduce bias. I’m passionate about contributing to AI systems that are safer, fairer, and more reliable.
AUDITING LARGE LANGUAGE MODELLS IN VARIOUS ASPECTS
REVIEWING CODES AND AUDITING
Doctor of Philosophy, Computer Science
Master of Technology, Programming Theory
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