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Freelancer Overview
I have over 8 years of experience in AI and machine learning, with a strong focus on building and deploying NLP and generative AI systems that rely on high-quality labeled data. My work has involved designing end-to-end data pipelines for both structured and unstructured datasets, developing robust data annotation workflows, and implementing model evaluation frameworks to ensure data accuracy, bias mitigation, and compliance. I am skilled in Python, SQL, Databricks, and cloud platforms such as AWS, and have hands-on experience with large-scale data processing, feature engineering, and secure data governance. My projects have spanned regulated and enterprise environments, and I have collaborated closely with compliance, legal, and business teams to ensure that AI training data meets stringent quality and audit standards. I am passionate about responsible AI and understand the critical role that precise data labeling and annotation play in building reliable, production-ready models.
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