ABDULLAH IBEN SIRAZ

I am a detail-oriented data annotation specialist with hands-on experience labeling images, videos, and text for AI and machine-learning projects. I apply bounding boxes, polygons, polylines, keypoints, and semantic segmentation with strict QA processes to deliver high-quality training data.

At Quantigo.ai I annotated and validated large-scale datasets (15,000+ images, 300+ video clips) for autonomous driving and medical imaging, achieving over 98% accuracy and reducing annotation errors by up to 20%. I also developed annotation guidelines, trained new annotators, and supported model training through high-fidelity masks and structured datasets.

I hold certifications in data annotation and AI fundamentals, a B.Sc. in Information Technology, and a demonstrated track record of improving dataset reliability and model performance through precise labeling and collaborative workflows.