Jairo Matos

Staff Software Engineer

Designed developmental psychology annotation frameworks for pediatric AI models, improving training accuracy by 38%. Built data annotation pipelines and integrated cognitive assessment rubrics into AI test case scenarios.

System TrainingData AnnotationModel EvaluationNLPPrompt EngineeringLLM Fine tuningMachine LearningQualitative AnalysisQuantitative ResearchDataset CurationCorpus AnnotationStatistical ModelingPsychometric AnalysisData ValidationTest Case DesignScenario DevelopmentQA ReviewAnnotation Quality ControlEvaluation and BenchmarkingAWSGoogle Cloud PlatformAzureJiraConfluenceNotionOutput ReviewPerformance MonitoringFeedback DocumentationAnnotation Auditing

Staff Software Engineer

Developed AI system training scenario libraries for children's decision-making and peer influence, providing 2.3k annotated cases for model fine-tuning. Applied developmental psychology theory to evaluate AI-generated educational content.

System TrainingData AnnotationModel EvaluationNLPPrompt EngineeringLLM Fine tuningMachine LearningQualitative AnalysisQuantitative ResearchDataset CurationCorpus AnnotationStatistical ModelingPsychometric AnalysisData ValidationTest Case DesignScenario Development

Senior Software Engineer

Constructed child development eligibility criteria for insurance risk models and annotated 9k pediatric case records. Designed AI system training test cases for edge scenarios, improving model recall by 29%.

System TrainingData AnnotationModel EvaluationNLPPrompt EngineeringLLM Fine tuningMachine LearningQualitative AnalysisQuantitative ResearchDataset CurationCorpus AnnotationStatistical ModelingPsychometric AnalysisData ValidationTest Case DesignScenario Development

Software Engineer

Analyzed psychosocial and cognitive assessment variables for financially vulnerable families, providing domain-grounded annotations. Developed data annotation schemas and evaluated AI-generated financial guidance for developmental appropriateness.

System TrainingData AnnotationModel EvaluationNLPPrompt EngineeringLLM Fine tuningMachine LearningQualitative AnalysisQuantitative ResearchDataset CurationCorpus AnnotationStatistical ModelingPsychometric AnalysisData ValidationTest Case DesignScenario Development

Software Engineer

Contributed child development domain expertise to digital platform content review workflows, annotating child-facing UX scenarios. Built annotation guidelines for children's digital commerce interaction data.

System TrainingData AnnotationModel EvaluationNLPPrompt EngineeringLLM Fine tuningMachine LearningQualitative AnalysisQuantitative ResearchDataset CurationCorpus AnnotationStatistical ModelingPsychometric AnalysisData ValidationTest Case DesignScenario Development

Software Engineer

Apple

Designed developmental psychology evaluation protocols for Siri child-interaction scenarios and annotated large-scale digital commerce behavioral datasets. Built cognitive accessibility benchmarks for App Store content rating guidelines.

System TrainingData AnnotationModel EvaluationNLPPrompt EngineeringLLM Fine tuningMachine LearningQualitative AnalysisQuantitative ResearchDataset CurationCorpus AnnotationStatistical ModelingPsychometric AnalysisData ValidationTest Case Design