AI Content Evaluation Specialist / Agentic AI Engineer
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Reviewed and validated AI-generated outputs from multi-agent drug discovery and LLM-based pipelines for quality, safety, and factual accuracy. Identified hallucinations, policy violations, and model errors through systematic evaluation frameworks. Collaborated on defining content quality metrics and documenting structured feedback for model improvement.
• Applied traceability methods and audit-compliant documentation in workflow.
• Flagged and reported harmful, misleading, or policy-violating responses.
• Used cross-functional review to support model enhancements.
• Directly improved AI output safety and reliability.
Reviewed and validated AI-generated outputs from multi-agent drug discovery and LLM-based pipelines for quality, safety, and factual accuracy. Identified hallucinations, policy violations, and model errors through systematic evaluation frameworks. Collaborated on defining content quality metrics and documenting structured feedback for model improvement. • Applied traceability methods and audit-compliant documentation in workflow. • Flagged and reported harmful, misleading, or policy-violating responses. • Used cross-functional review to support model enhancements. • Directly improved AI output safety and reliability.
2025 - Present