Ingrid Bernal

Evaluated AI-generated content for accuracy, quality, consistency, and guideline adherence. Applied structured rubrics, ranked responses, identified errors and inconsistencies, and documented evaluation decisions across AI evaluation workflows.

Perform second-level QA reviews of AI-generated audio transcription and annotation tasks. Review completed work for accuracy, consistency, segmentation, formatting, and compliance with project-specific guidelines.

Evaluated AI-generated content using structured criteria and annotation guidelines. Compared and ranked responses, identified factual and logical errors, provided structured feedback, and supported AI training and quality assurance workflows.

Conducted high-volume X-ray, CT, MRI and mammography studies with strict protocol adherence and applied annotation guidelines and quality control for AI datasets to ensure consistency and accuracy.

Performed complex MRI and CT imaging, optimized workflow efficiency, and developed transferable skills in data validation, structured annotation, and QA for medical imaging datasets.

Supported transition to digital X-ray systems, ensuring data accuracy and process compliance during implementation of digital imaging workflows.

Completed supervised clinical imaging rotations, developing attention to detail, protocol adherence, and foundational skills in radiologic procedures.

Completed a QA Engineer Bootcamp focused on quality assurance principles and practical QA skills for software and data projects.

Completed a Certificate in Advanced English (C1) to improve professional English proficiency for clinical and technical contexts.

Completed a Diploma in Magnetic Resonance Imaging focusing on MRI principles, safety, and imaging techniques applicable to clinical and research settings.

Earned a degree as a Medical Technologist in Radiology with training in X-ray, CT, MRI, and mammography clinical practices.