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CVAT
Doccano
Labelbox
Prodigy
Scale AI
SuperAnnotateNo subject matter listed
Audio
Document
ImageI have 7+ years of experience in AI training data and annotation across NLP, computer vision, and speech recognition. Skilled with tools such as Labelbox, Scale AI, Prodigy, SuperAnnotate, and SageMaker Ground Truth, I deliver high-quality labeled datasets in formats like YOLO and COCO. My projects have included text classification, image segmentation, and audio transcription, with accuracy rates consistently above 98%. I bring certifications in Generative AI, Prompt Engineering, and Data Annotation Ethics, ensuring both technical excellence and ethical best practices.
Annotated audio datasets for Automatic Speech Recognition (ASR) systems, improving model performance in transcription and intent detection.
Produced YOLO- and COCO-compatible datasets for computer vision models, enabling accurate object detection and automated document analysis.
Delivered labeled text datasets for AI language models, improving intent recognition and response accuracy in conversational AI systems.
Conducted content review and labeled datasets for medical and general content, supporting early AI/ML model training and evaluation.
Conducted data annotation and coding for academic projects, providing structured datasets for behavioral research and early machine learning testing.
Master of Science (M.Sc.), Psychology (Focus: Research Methods & Human Behavior)
Bachelor of Science (B.Sc.), Psychology
Content Reviewer & Research Specialist
Research & Data Support Assistant
