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Medical Dicom

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Freelancer Overview

I am a backend software engineer with a strong foundation in data analysis and scientific research, particularly in the biomedical and neuroscience domains. My experience includes building robust data pipelines, developing tools for processing and visualizing complex biological datasets, and applying statistical modeling using Python and R. Through my PhD research, I gained hands-on expertise in designing annotation workflows, ensuring data quality, and extracting meaningful insights from large, diverse datasets. I am skilled in working with MongoDB, SQL, and cloud-based architectures (AWS), and have contributed to scalable API development for data-driven applications. My passion lies in bridging the gap between raw data and actionable insights, and I thrive in roles that require meticulous data handling, annotation, and the creation of high-quality training datasets for AI and machine learning projects.

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