Luisa María A.

— RLHF Framework Design: Developed complex evaluation rubrics and adversarial prompts to test LLM reasoning, alignment, and logical-formal accuracy. — Model Optimization: Audited AI-generated outputs for semantic precision, providing high-level feedback loops to enhance model performance in bilingual (EN/ES) contexts. — Instruction Logic: Optimized prompt architectures to improve zero-shot and few-shot learning capabilities, ensuring compliance with strict technical and ethical constraints.

— Strategic Communication: Provided high-level proofreading and stylistic alignment for technical and academic documentation, ensuring zero redundancy and maximum rhetorical impact. — Methodological Consulting: Advised on research architecture and formal argumentation, applying philosophical rigor to complex information synthesis and presentation.

— AI-Assisted Drafting: Produced high-volume content for the Technology and Current Affairs sections, utilizing preconfigured prompt systems to maintain editorial tone and SEO standards. — Verification Protocols: Executed fact-checking workflows by cross-referencing AI-generated outputs with primary sources to identify factual inconsistencies and mitigate model hallucinations. — Content Synthesis: Applied generative tools for the summarization of extensive technical reports and the extraction of key thematic entities to streamline the drafting process. — Operational Optimization: Monitoring and preliminary data analysis using automated classification tools to propose emerging topics. — Linguistic Quality Control: Performed final stylistic reviews and cohesion checks on AI-assisted drafts, ensuring compliance with the newspaper's editorial manual and logical flow.