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Data Annotation Tech

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Freelancer Overview

I am a data engineer with hands-on experience in building scalable data pipelines and optimizing data workflows, particularly in regulated domains like healthcare. My background includes developing and maintaining ETL processes using Azure Data Factory and SQL, ensuring data integrity, auditability, and compliance for analytics and reporting. I have worked on machine learning projects such as early-stage skin disease detection using CNNs and EfficientNet, giving me a strong understanding of AI training data requirements, annotation quality, and the importance of structured, labeled datasets. My skills in Python, SQL, and cloud tools like Azure, combined with my focus on data governance and cross-functional collaboration, make me well-equipped to contribute to high-quality data labeling and AI training initiatives.

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