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Freelancer Overview

I am passionate about building high-quality AI systems and have hands-on experience in data labeling, annotation, and AI training data workflows across domains such as natural language processing, genomics, and healthcare. My background includes developing and benchmarking deep learning models for dementia classification using transcribed speech, designing experimental frameworks to evaluate model faithfulness, and contributing to rigorous data quality assurance processes. I am proficient in Python, TensorFlow, PyTorch, Scikit-learn, and key data tools like Pandas and NumPy, as well as version control with Git. My work has involved collaborating with research teams, documenting comprehensive test cases, identifying edge cases, and ensuring reliable data for model training and evaluation. I am committed to advancing ethical, interpretable AI through careful data curation and annotation, and thrive in environments that value precision and collaboration.

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