kwame Nkrumah University of Science and Technology
Bsc Information Technology, Information Technology
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I bring a combination of technical and detail-oriented skills well suited to data labeling and AI training data work. As an Information Technology student at KNUST with hands-on development experience, I've built programmatic image-processing pipelines using Python (Pillow, OpenCV) and automated rendering workflows—including iterative background removal, image compositing, and segmentation-style tasks. This means I understand both how training data is prepared and how models consume it, and I'm comfortable working through large batches of visual or text data while maintaining consistency and accuracy. What sets me apart is the pairing of technical fluency with meticulous quality control. My design background trained me to follow precise, repeatable standards across many assets and to catch the subtle edge cases that strong annotation demands. I've delivered competition-winning projects (Best Overall Project and Best Website Design at a TechWorld Hackathon) and full-stack applications, so I'm equally capable of automating a labeling task in code and doing the careful manual review that ensures high-quality output. I learn new tools and annotation schemes quickly and work methodically against detailed guidelines.
Bsc Information Technology, Information Technology
graphic designer and full stack developer