Key Skills

Freelancer Overview

I am a detail-oriented Data Labeling Specialist with over 7 years of hands-on experience preparing high-quality datasets for machine learning and AI systems. My background includes extensive work in computer vision (bounding boxes, polygons, segmentation, keypoints), NLP (sentiment analysis, NER, text classification), and speech/audio data labeling. I have consistently maintained a 98–99% QA accuracy rate, leading annotation teams and optimizing workflows to deliver large-scale projects ahead of deadlines. My expertise spans tools such as Labelbox, CVAT, Prodigy, SuperAnnotate, and V7, and I am comfortable using Python and SQL for data preprocessing. I have contributed to projects in autonomous driving, multilingual conversational AI, and large-scale speech-to-text datasets, always focusing on improving efficiency, reducing rework, and enhancing model outcomes in fast-paced, metrics-driven environments.

Labeling Experience

Education

Work History