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Freelancer Overview

I am a Master's candidate in Information Technology and Computer Science with a solid foundation in biomedical informatics, AI, and data science. My expertise lies in bioinformatics, machine learning, and deep learning, specifically in applications like medical imaging, genomics, and multi-omics data integration. I have practical experience in AI training and data labeling through academic projects and internships, where I contributed to tasks such as RNA-seq data annotation, imaging data preprocessing, and predictive feature extraction for sequencing error detection. Notable projects include breast cancer classification using machine learning, survival prediction for cervical cancer patients, and text recognition in electronic medical records guided by generative AI. My skill set includes proficiency in data annotation tools, statistical analysis, and visualization frameworks, making me well-suited to contribute to complex AI training datasets with precision and domain expertise.

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