Key Skills

Software

AWS SageMaker

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Computer Code Programming

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Freelancer Overview

I have hands-on experience in artificial intelligence and machine learning, with a strong foundation in data annotation and training data workflows. During my internship at Samsung R&D, I designed and trained classification models using ResNet50 for video frame detection, achieving high accuracy in distinguishing between LDR and HDR frames—this involved extensive data labeling, preprocessing, and evaluation to ensure quality training datasets. I am proficient in Python and familiar with tools like FFmpeg for data extraction and normalization, as well as frameworks such as Flask and ReactJS for building end-to-end solutions. My background in computer vision projects and my attention to data quality make me well-suited for roles focused on data labeling, annotation, and AI training data management.

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Education

Work History