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OneFormaRoboflowNo subject matter listed
ImageI am an experienced professional specializing in data annotation, AI training data, and transcription accuracy. My background includes hands-on work with image annotation for computer vision projects, where I labeled images using bounding boxes according to YOLO guidelines to support object detection datasets. I have also reviewed and corrected transcription data to ensure linguistic precision, directly contributing to the reliability of AI language models. With a strong foundation in programming (Python, C++, C, Java, CUDA) and a keen eye for detail developed through both technical and creative roles, I am committed to delivering high-quality, accurate data that drives the performance of AI systems. My experience spans remote and in-person environments, and I am passionate about leveraging my skills to enhance data quality and support innovative AI solutions.
Labeled datasets for object detection and classification, including people, everyday objects, and complex scenes; performed QA passes and format validation for YOLO exports.
YOLO Object Detection (OneForma): Annotated bounding boxes for multi-class objects (1–5 per image), achieving 98–99% QC accuracy. Focused on consistency, occlusion handling, and guideline compliance.
Bachelor of Science, Computer Science
Computer Programmer
Graphic Designer
