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Appen
Clickworker
CloudFactory
CVAT
Data Annotation Tech
Mindrift
SuperAnnotate
LabelImgNo subject matter listed
Image
Text
VideoAs an experienced Image, Text, and Video Annotation Expert, I specialise in transforming raw datasets into structured, machine-readable insights for cutting-edge AI models. With over 5+ years of hands-on experience across diverse industries — from autonomous driving to healthcare AI — I bring technical precision, domain understanding, and a strong commitment to annotation quality and consistency. My core strength lies in meticulous attention to detail, deep familiarity with annotation platforms (Labelbox, CVAT, SuperAnnotate, V7), and a strong grasp of annotation guidelines tailored to computer vision, NLP, and video analytics applications. Whether it's pixel-perfect semantic segmentation, named entity recognition (NER), video object tracking, or multi-modal annotation tasks, I deliver results that fuel smarter, more accurate AI systems. Selected Projects: Autonomous Vehicle Dataset Annotation (for a US-based Mobility Company): I led a team annotating over 200,000 high-resolution street images with bounding boxes, polygons, and key points to label pedestrians, vehicles. SKU Image Annotation with MoonValley Ai and I annotated over 10,000 eCommerce Images and wrote both product and lifestyle descriptions What I Offer: Expertise in Bounding Box, Polygon, Polyline, Keypoint, 3D Cuboid, Semantic Segmentation, and Tagging tasks. Proficient in Text Annotation techniques, including NER, sentiment analysis, text classification, and part-of-speech tagging.
Data labelling data task performed on eCommerce images, production and lifestyle description without sounding salecy. Bounding boxes for images.
Master of Science, Business Administration
Data Annotator Specialist
Business Development Manager
