Shamsudeen Abubakar

I am a detail-oriented data professional with practical experience in AI annotation, data analysis, and Python basics, grounded by a B.Sc. in Computer Science from the Federal University of Lafia. I have graded AI responses, selected optimal prompt outputs with reasoned feedback, and worked with multimodal data (text, images, video, audio) using annotation tools such as Label Studio.

I collaborate effectively within teams, communicate findings clearly, and continuously pursue learning in networking, programming, and data practices. I am passionate about improving model quality through careful classification, detection, and transcription work, and I seek opportunities to apply and expand my analytical skills in real-world projects.