I am a detail-oriented and results-driven Search Relevance Specialist with over three years of experience in delivering high-quality, high-volume labeled datasets to support AI training initiatives for global clients, including a major U.S. retailer. I specialize in multimodal annotation across text, images, and product metadata, playing a key role in the development of e-commerce search engines and machine learning models.
Skilled in Python, SQL, and annotation platforms like Appen, I excel in query evaluation, taxonomy structuring, and quality assurance, consistently achieving high accuracy levels under deadline-driven, remote workflows. I am self-motivated, adaptive, and committed to driving continuous improvements in data quality and search relevance.
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