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AppenNo subject matter listed
Computer Code ProgrammingI am an experienced AI trainer and data annotator with a strong background in labeling and validating datasets to enhance AI model performance, particularly in natural language processing and STEM domains. My expertise spans high-quality data annotation, quality assurance, and refining evaluation rubrics to ensure unbiased and accurate training data. I am skilled in using tools like Label Studio, Prodigy, and various annotation UIs, and I bring solid programming knowledge in Python, Java, and C++. My experience includes collaborating with AI teams to optimize data pipelines, reduce bias, and improve model reliability. With a proven track record in problem-solving, mentorship, and maintaining rigorous data quality standards, I am passionate about contributing to impactful AI projects.
Utilized supervised labeling techniques to annotate datasets, ensuring high accuracy in categorizing diagnostic software outputs and math-related content.
Bachelor of Technology, Computer Science
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