Abdulhafiz Suleiman
@abdulhafizsuleiman1
Data annotation and AI evaluation specialist improving LLM factuality and reasoning.
What I'm looking for
I am an analytical Data Annotation and AI Evaluation Specialist with over five years of experience training and fine-tuning Large Language Models across biology, medicine, and general reasoning domains.
I design prompts, develop evaluation rubrics, and deliver high-quality annotations (text, image, audio, video), contributing to measurable improvements in model factual accuracy and reasoning depth.
I combine a scientific background (DVM) with hands-on experience in AI tools and annotation platforms to build trustworthy, ethically aligned AI systems and mentor junior annotators.
Experience
Work history, roles, and key accomplishments
AI Trainer & Evaluator
Freelance
Jan 2019 - Present (6 years 10 months)
Designed and evaluated prompts and model responses to improve LLM factual accuracy and reasoning, delivered 15,000+ high-quality annotations with 99% accuracy and developed evaluation rubrics used across projects.
Biology Domain Expert
Independent Contributor
Jan 2018 - Dec 2019 (1 year 11 months)
Applied biological expertise to create and validate life-sciences QA datasets and evaluation prompts, ensuring scientific correctness and improving model domain comprehension.
Education
Degrees, certifications, and relevant coursework
University of Ilorin
Doctor of Veterinary Medicine, Veterinary Medicine
Doctor of Veterinary Medicine (DVM) with a strong scientific foundation supporting biological data annotation and AI model validation tasks.
Availability
Location
Authorized to work in
Job categories
Skills
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