As a Master in Linguistics, I apply scientific rigor to next-generation Large Language Models (LLMs), bridging semantic and semiotic analysis with frontier computing
Leveraging semiotics and formal linguistics as foundational pillars to guide machine learning and deep contextual understanding in LLMs.
"Unlike purely syntactic approaches in computing, I draw upon discourse analysis and generative semantic structures to decode how AI processes context. Currently, my specialized focus centers on Neural Natural Language Processing in Portuguese, advanced data engineering, and vector databases (RAG)—paving the way for the architecture of high-fidelity intelligent agents."
Developing deep intelligence in generative models by challenging the logical consistency of state-of-the-art AI systems.
"Direct involvement in competitive environments and blind evaluations. By crafting highly complex, multi-turn scenarios, I apply weakness tagging to precisely diagnose structural flaws, logical contradictions, and context loss in AI models before they reach the market."
Applying linguistic science to refine naturalness, mitigating problematic semantic nuances and structuring clean responses for global projects.
"In large-scale projects, I focus on fine semantic refinement and ambiguity elimination, ensuring that models generate responses with high contextual fidelity, free from semantic drift or hallucinations."
Translating AI training theory into operational efficiency within daily communications and editorial team management.
"I do not merely train external models; I integrate state-of-the-art AI into my strategic ecosystem. I leverage Google Workspace tools and NotebookLM for accelerated market research and Search Generative Experience (SGE), while designing and leading ethical AI training for writers—ensuring business scalability without compromising human authority or authorship."
Liked my work? I am available for: LLM alignment consulting, model evaluation and training, linguistic data governance, speaking engagements, team training, and prompt engineering style guides.