ezekiel mutwiri

I’m a BSc Statistics graduate with 2+ years of experience preparing and evaluating datasets for machine learning systems. I bring analytical rigor from statistics and mathematics, along with hands-on expertise in annotating text, image, audio, and video data under strict guidelines.

In remote roles, I’ve annotated large-scale datasets, applied consistency-focused instructions, and completed quality reviews and corrections to improve dataset reliability. I use advanced annotation tools and methods such as bounding boxes, polygons, brush, and cuboids for accurate 2D/3D labeling, plus frame-by-frame consistency for video tasks.

I’m especially effective at structured AI evaluation and human-behavior related labeling, including human-object interaction and precise start/end timestamps for segmentation. With a strong ICT background, I stay precise, adaptable, and productive in deadline-driven environments—delivering high-quality outputs that directly strengthen model performance.