Ofana Nelson
@ofananelson
Healthcare AI evaluator and pharmacy domain expert ensuring scientific accuracy, safety, and model alignment.
NigeriaWhat I'm looking for
I am a Pharmacy Domain Expert and Healthcare AI Evaluator focused on evaluating AI-generated scientific and medical content for factual accuracy, clinical correctness, and evidence-based standards. I identify logical inconsistencies, unsupported claims, and hallucinations, and I deliver structured, evidence-based feedback.
In contract work at micro1 and related annotation roles, I apply pharmacological and biomedical knowledge to assess response quality, reasoning depth, safety, and alignment with established scientific knowledge. I also perform Reinforcement Learning from Human Feedback (RLHF) ranking tasks, conduct adversarial prompt engineering and red-teaming, and justify evaluation decisions for large-scale projects.
I’m pursuing my Doctor of Pharmacy (PharmD) training and building a deep foundation in pharmacology, medicinal chemistry, human anatomy and physiology, biochemistry, and pathophysiology. I’m particularly interested in the intersection of healthcare, scientific reasoning, and artificial intelligence—helping build more reliable and trustworthy AI systems.
Experience
Work history, roles, and key accomplishments
• Evaluate AI-generated scientific, medical, and technical content for factual accuracy, clinical correctness, and adherence to evidence-based standards using structured evaluation rubrics.
• Apply pharmacological and biomedical knowledge to identify errors, unsupported claims, and logical inconsistencies in large language model (LLM) outputs across healthcare, biology, and chemistry domains.
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Scientific AI Evaluator
Micro1
Jun 2026 - Present (1 month)
Evaluate AI-generated scientific, medical, and technical content for factual accuracy, clinical correctness, and evidence-based adherence using structured evaluation rubrics. Perform RLHF ranking, adversarial red-teaming, and provide evidence-based written justifications for evaluation decisions.
PharmD student at the University of Calabar with background coursework spanning pharmacy-related sciences and research skills.
Analyzed digital engagement data to identify high-growth content performance trends. Applied pattern recognition to improve algorithmic visibility and metadata search performance. Transformed raw, unorganized data into structured formats for strategic decision-making. Utilized retention metrics to guide shifts in digital strategy and audience targeting.
Optimized supervised machine learning models by annotating and labeling complex datasets. Performed RLHF-based ranking to refine AI model outputs for reasoning and truthfulness. Evaluated AI-generated responses against strict safety, tone, and accuracy benchmarks. Identified and corrected dataset inconsistencies through rigorous logical analysis.
Education
Degrees, certifications, and relevant coursework
University of Calabar
Doctor of Pharmacy, Pharmacy
2025 - 2030
Availability
Location
NigeriaAuthorized to work in
Job categories
Skills
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