Technical Operations Specialist & Executive Assistant (AI prompt engineering, LLM response auditing, evaluation workflows)
Engineered, validated, and tested contextual prompts across major LLMs to automate document generation and executive communications, indicating structured training-like prompt workflows. Performed LLM response auditing consistent with evaluation and preference-learning style review (RLHF/DPO) for quality improvement. Applied strict instruction compliance and structured justification logic to support high-context outputs suitable for downstream LLM tuning. • Created and validated prompt sets for internal summaries, messaging matrices, and technical document generation • Audited LLM outputs for factuality/grounding and reduced errors and hallucinations • Used RLHF/DPO-style evaluation concepts as part of response validation • Ensured consistent formatting and compliance with complex operational prompt rules