Victor Atayero

I am an analytical, detail-focused prompt engineer with over four years working with large language models, AI content creation, and model assessment. I design complex adversarial and edge-case prompts to rigorously evaluate models including OpenAI GPT, Gemini, Claude, and Llama.

At Quest Analytics I created thousands of prompts, benchmark answers, and structured rubrics to test reasoning, hallucination, temporal and multi-hop understanding, and multimodal comprehension. I identify model weaknesses and collaborate with cross-functional teams to refine evaluation pipelines and annotation guidelines.

As a freelance content analyst and research assistant I annotated and labeled training data for NLP tasks, produced adversarial text samples to improve robustness, and performed accuracy scoring and error analysis while maintaining strict QA standards. I bring native-level US English proficiency and strong editorial precision to data annotation and evaluation.

I hold an M.Sc. in Applied Linguistics & Communication with focused training in prompt engineering and AI safety, plus certifications in machine learning foundations, data annotation, and generative AI. I am committed to delivering high-quality training data and reliable evaluation artifacts that improve model performance and safety.