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Software

Data Annotation Tech

Mercor

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Freelancer Overview

I am a computer science student with hands-on experience in building and optimizing large-scale data pipelines, data validation, and data deduplication systems. My background includes developing ingestion pipelines that efficiently process millions of records, implementing robust data quality checks, and managing high-volume data aggregation from diverse sources. I have worked extensively with Python, SQL, PostgreSQL, AWS, and tools like Docker and Kubernetes to ensure accurate, consistent, and high-quality datasets—skills that are essential for data labeling and AI training data roles. My projects have focused on consolidating and validating metadata from varied domains, including food products and content aggregation, where I prioritized data integrity and scalability for downstream machine learning and analytics applications. I am passionate about creating reliable data foundations that power intelligent systems.

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