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Freelancer Overview
As a Ph.D.-trained Computer Science expert with over 11 years of experience, I specialize in AI training and data labeling across diverse domains, including autonomous vehicle sensor data, multilingual text annotation, and geospatial image processing. My career highlights include leading teams to annotate 500,000+ images and videos with 98% accuracy using tools like CVAT, LabelStudio, and Prodigy, and developing Python-based automation scripts that reduced manual labeling by 40%. I have managed 200+ terabytes of data for IBM Watson AI Labs and contributed to open-source enhancements for video labeling on GitHub. My expertise spans data types (images, videos, satellite imagery, 3D point clouds) and techniques (bounding boxes, semantic segmentation, text generation), supported by proficiency in Python, TensorFlow, and AWS. Fluent in English, Spanish, and Mandarin, I bring a unique edge in multilingual AI projects. My publications in NeurIPS and IEEE conferences, along with certifications like AWS Certified Machine Learning, underscore my commitment to advancing AI innovation.
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