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CVATNo subject matter listed
Medical DicomI am a detail-oriented data labeling and AI training data specialist with hands-on experience in annotating and evaluating text, image, and audio datasets. My background includes tasks such as sentiment analysis, entity recognition, bounding boxes, LLM evaluation, RLHF preference ranking, hallucination detection, and prompt engineering. I am fluent in English, Romanian, and German, with strong technical reading and writing skills, and have worked extensively with web-based annotation tools like Labelbox, Scale Studio, and CVAT. I consistently deliver high-accuracy results, adapt quickly to new guidelines, and thrive in remote, deadline-driven environments. My commitment to quality and ability to follow complex instructions make me a reliable contributor to diverse AI and machine learning projects.
Performed segmentation of lung CT scans for a pneumonia detection model. Labeled over 10000 images with high accuracy
Bachelor of Science, Computer Science
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