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Freelancer Overview

I am an AI Research Engineer with extensive experience in building robust data annotation and training pipelines for large-scale AI systems, particularly in computer vision. My work has focused on designing automated data authoring workflows that integrate model inference and real-time human input to accelerate and enhance data labeling quality. I have developed interactive segmentation tools, model-assisted labeling techniques, and automated quality control engines to ensure the accuracy and efficiency of training datasets, even in data-scarce or imperfect environments. My expertise spans deep learning architecture, weakly supervised learning, and deployment optimization, and I have contributed to high-impact projects and publications that set new standards in semantic and instance segmentation using minimal supervision. I am passionate about solving complex data challenges and advancing the quality of AI training data through innovative, research-driven solutions.

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