IBRAHIM ADAMU IBRAHIM
I’m Ibrahim Adamu Ibrahim, an AI data and LLM evaluation specialist and Computer Science undergraduate at Ahmadu Bello University (ABU).
About
I’m Ibrahim Adamu Ibrahim, an AI data and LLM evaluation specialist and Computer Science undergraduate at Ahmadu Bello University (ABU). I work with human-in-the-loop evaluation pipelines where I apply detailed rubrics to judge quality, safety, and accuracy of AI outputs, especially for text and frontier model responses.
With 4+ years of experience across major AI data and labeling platforms, I’ve supported the creation and quality control of thousands of datasets, including high-precision egocentric video action labels using strict annotation standards (atomic labels, imperative voice, and hand laterality). I build and use Python-based tooling for evaluation, and I’m excited to keep growing as an AI engineer focused on data-centric, measurable improvements in model performance.
- 6 years' experience
- Joined October 2026
Languages
- EnglishAdvanced
Industry experience
- Software & Internet
- Professional Services
- Computers & Electronics
- Education
Work experience
Project-based contractor delivering training-data annotation and LLM/foundation-model evaluation. Evaluated frontier AI model outputs against detailed rubrics for helpfulness, accuracy, and safety, producing structured feedback used to refine model behavior. Performed dataset quality control by verifying labels, flagging ambiguity, and resolving edge cases consistently with guidelines. Produced high-precision egocentric video action labels with strict rubric adherence (atomic labels, imperative voice, hand laterality) for CV training datasets. Supported human-in-the-loop content moderation workflows and consistently met accuracy and turnaround expectations across multiple remote clients, contributing to 5,000+ datasets and maintaining 98%+ accuracy under project requirements.
Completed bulk data verification, research, and validation tasks with consistent accuracy. Supported streamlined data collection and entry processes to improve efficiency while maintaining data integrity.
Education
Certifications and awards
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