Video annotation
Video and audio quality and accuracy evaluation on CrowdCompute Workbench via Prolific
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With a background in backend development and a doctorate in medicine, I bring a unique blend of technical and domain expertise to data labeling and AI training data projects, especially in healthcare and medical data. I have hands-on experience developing and maintaining applications that handle complex data imports, parsing, and transformation using PHP (Symfony), Python, and Ibexa DXP. My work has involved designing systems for structured data management, automating data pipelines, and leveraging AI-assisted tools for rapid bug fixing and code improvements. I am skilled in REST APIs, database management (PostgreSQL, MySQL, MongoDB), and have a holistic approach to ensuring data quality, accuracy, and compliance—critical components for high-quality AI training datasets. My adaptability and fast learning enable me to quickly master new tools and contribute effectively to data annotation and AI-driven projects.
Video and audio quality and accuracy evaluation on CrowdCompute Workbench via Prolific
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