Stanford University
Master of Science, Computer Science
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I am a data labeling and AI training data specialist with over three years of hands-on experience building and optimizing large-scale, multimodal data pipelines for machine learning applications. My expertise spans text, image, video, and audio annotation using industry-standard tools like Labelbox, CVAT, and Scale AI, with advanced skills in Python, SQL, OpenCV, and PySpark. I have designed and implemented automated quality control systems that significantly improved dataset accuracy and reduced manual review time, while collaborating closely with AI research teams to deliver high-quality, customized datasets for NLP and computer vision models. My background includes developing scalable annotation workflows, ensuring data security and compliance, and contributing to open-source data quality toolkits adopted by research teams. I am passionate about delivering precise, high-integrity training data that drives reliable AI outcomes.
Bennett B. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Master of Science, Computer Science
Bachelor of Science, Computer Science
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