A career built around language.

Decagon (via Mercor)

AI Quality Assurance Specialist

• Conduct quality assurance evaluations of linguistic data and AI model outputs, ensuring compliance with project guidelines;
• Evaluate AI agent performance using structured rubrics and predefined quality standards across conversational and NLP tasks;
• Identify recurring error patterns, providing actionable, structured feedback to improve model performance;
• Collaborate with cross-functional stakeholders to clarify requirements, resolve ambiguities, and refine QA and evaluation procedures;
• Maintain detailed documentation of evaluation criteria, decisions, and edge cases to support auditability and consistency.

Center for Curriculum Redesign

NLP Researcher

Applied NLP research on the evaluation and synthesis of outputs from multiple LLMs, with educational content as an application context.

• Lead the design, prototype implementation, and evaluation of a task-agnostic multi-LLM pipeline.
• Develop prompts and rubric-based assessment approaches for evaluating candidate responses and synthesizing consolidated outputs.
• Investigate factual grounding, hallucination detection, and consistency in AI-generated content.
• Design evaluations and analyze generated outputs to study synthesis quality relative to individual model responses.

Partial implementation/prototype developed in a confidential client context.

Project overview ↗

Telus Digital

Quality Controller

• Lead quality assurance for language data projects, ensuring accuracy, consistency, and alignment with client specifications;
• Collaborate with project managers and subject matter experts to refine task guidelines, documentation and resolve quality issues;
• Conduct audits and performance reviews of annotators and reviewers;
• Analyze error patterns and generate insights to improve data quality and team efficiency;
• Support the onboarding and training of new team members, ensuring alignment with quality standards;
• Create, update, and edit annotation and QA guidelines to reflect evolving project needs and improve clarity for annotators;
• Use quality tracking tools and dashboards to report on KPIs, monitor SLA compliance, and drive continuous improvement.

Google Brazil (via Telus Digital)

Senior Linguist

• Support the Project Manager on management tasks;
• Perform review of work authored by Linguists;
• Elaborate and conduct training activities of Linguists and new-hires;
• Localize prompts, response templates, evaluation instructions, and linguistic resources for Brazilian Portuguese, ensuring linguistic accuracy, cultural appropriateness, and consistency with global AI quality standards;
• Develop complex grammars for Natural Language Understanding;
• Create complex templates for Natural Language Generation;
• Evaluate current system outputs;
• Annotate and review linguistic data;
• Follow and fulfill project KPIs.

Cerence (via Maize)

NLU Language Developer

• Developed NLP components: write rules, build grammars/FSTs;
• Expanded annotation schemas and semantic label structures to support new conversational AI capabilities while maintaining compatibility with existing language resources;
• Used modeling tools to bootstrap and test new functionalities;
• Designed Portuguese-specific linguistic mappings and expanded semantic label structures to improve NLU coverage and speech technology performance;
• Created annotation systems and mappings for Portuguese;
• Analyzed system performance and identified areas for improvement;
• Collaborated with other Engineers and annotators in data collection and development efforts;
• Developed specific guidelines for Brazilian Portuguese phonetic/phonemic transcription;
• Supported script design used to train speech synthesis models;
• Worked on localization (en-ptBR-en).

Google Brazil (via Telus Digital)

Associate Linguist

• NLU Grammar development;
• NLG development;
• Developed annotation guidelines, semantic label definitions, and taxonomy documentation to support scalable NLP data creation and model training;
• Annotate and review linguistic data;
• Provide linguistic analysis and support for NLU and NLG projects;
• Response modeling;
• Structured linguistic annotations using standardized semantic labels for disambiguation, normalization, and language understanding tasks;
• Annotating lexicon entries according to guidelines;
• Deriving NLP data.

Portuguese International Institute

Computational Linguist

• Supported the expansion and organization of scientific terminology taxonomies for Portuguese language resources;
• Data cleaning and wrangling;
• Flexional paradigm script design.

University of São Paulo

Teacher's Assistant

• Supported Professors during lectures;
• Held office hours;
• Elaborated and corrected students' assignments.

English for Business, São Paulo

English Teacher

As an English teacher, I taught Business English courses to professionals in São Paulo.

Cultura Inglesa, São Luís

English Teacher

As an English teacher, I taught English language courses in São Luís, Brazil.