I’m a Computer Science graduate with hands-on experience building and refining AI training datasets through detailed image, text, and video annotation. I’ve worked as a freelance data annotation specialist where I created accurate bounding boxes and object labels, applied consistent labeling guidelines, and performed quality checks to correct labeling errors for better dataset reliability.
In addition, I enjoy turning data and requirements into practical web solutions. I have skills in Python and Django for web development and I’ve worked on projects like sentiment datasets and customer review text annotation workflows, combining data labeling with programming to support AI/ML use cases. I’m detail-oriented and analytical, and I’m eager to contribute to AI data and software development projects with clean, consistent, and high-quality output.
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