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Emmanuel Mayegun

@emmanuelmayegun

I train and evaluate LLMs, ensuring high-quality biomedical AI data.

Zimbabwe
Message

What I'm looking for

I’m looking for a role where I can use biomedical domain knowledge to train and evaluate LLMs with rubric-based testing, human feedback, and bias/factual-integrity checks, while building reliable structured data workflows for high-quality AI outputs.

I’m a biotechnology-trained AI data specialist focused on evaluating and improving AI systems through accurate annotation, structured data workflows, and rigorous quality review. My work spans biomedical/clinical research data QA, graduate-level scientific instruction, and applied AI evaluation in biomedical NLP and medical imaging annotation.

In my current role as a Data Trainer (AI Annotation Specialist), I apply biomedical and STEM domain knowledge to construct and evaluate training prompt/response pairs, rank outputs using multi-criteria rubrics, and perform bias and factual-integrity checks to flag domain-specific inaccuracies. Previously, as a Programme Associate with the National Science Foundation I-Corps, I reviewed multi-institutional research data for compliance, validated technical submissions for scientific accuracy and methodological soundness, and maintained structured data repositories across concurrent projects.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

American University logoAU

American University

Master of Science, Biotechnology

Earned an M.Sc. in Biotechnology at American University (Washington, D.C.) in 2019.

NU

Near East University

Master of Science, Biomedical Engineering

Earned an M.Sc. in Biomedical Engineering at Near East University in 2015.

CU

Caleb University

Bachelor of Science, Microbiology

Earned a B.Sc. in Microbiology at Caleb University in 2012.

Tech stack

Software and tools used professionally

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