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Francisco De La Fuente

Francisco De La Fuente

Medical Imaging Technologist / AI Data Annotator

Chile flagSantiago, Chile
$8.00/hrEntry LevelInternal Proprietary Tooling

Key Skills

Software

Internal/Proprietary Tooling

Top Subject Matter

Medical Imaging: X-Rays
Medical Imaging: CT
Medical Imaging: Cardiac

Top Data Types

ImageImage

Top Task Types

SegmentationSegmentation

Freelancer Overview

Medical Imaging Technologist / AI Data Annotator. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include 3D Slicer and ITK-SNAP. Education includes a Bachelor’s degree in Medical Technology (specialization in Imaging and Medical Physics) from Universidad del Desarrollo (affiliated with Clínica Alemana) (2024). Additional training includes a certificate in Advanced Electrocardiography (2024). AI-related experience includes working with medical imaging data (DICOM) and annotation workflows such as segmentation. Hands-on experience with Philips Healthcare imaging platforms, performing advanced medical image post-processing, including 3D reconstruction, multiplanar reconstruction (MPR), and segmentation of DICOM datasets.

Entry LevelEnglishSpanish

Labeling Experience

Medical Imaging Technologist / AI Data Annotator

Segmentation
As a medical imaging technologist and AI data annotator, I specialize in providing clinically accurate ground truth annotations for medical imaging AI training. My daily work involves identifying anatomical landmarks and pathology using CT, angiography, and X-ray data, ensuring that AI segmentation models are informed by hands-on clinical understanding. Annotations are crafted using knowledge of imaging protocols, DICOM structure, and diagnostic considerations to optimize dataset quality for model development. • Daily annotation of DICOM imaging data for AI projects • Multi-modal expertise in CT, angiography, and X-ray segmentation • Focus on clinical accuracy and relevant anatomy/pathology • Familiarity with 3D Slicer and ITK-SNAP software for annotation

As a medical imaging technologist and AI data annotator, I specialize in providing clinically accurate ground truth annotations for medical imaging AI training. My daily work involves identifying anatomical landmarks and pathology using CT, angiography, and X-ray data, ensuring that AI segmentation models are informed by hands-on clinical understanding. Annotations are crafted using knowledge of imaging protocols, DICOM structure, and diagnostic considerations to optimize dataset quality for model development. • Daily annotation of DICOM imaging data for AI projects • Multi-modal expertise in CT, angiography, and X-ray segmentation • Focus on clinical accuracy and relevant anatomy/pathology • Familiarity with 3D Slicer and ITK-SNAP software for annotation

2025 - Present

Education

U

Universidad del Desarrollo

Certificate, Advanced Electrocardiography

Certificate
2024 - 2024
U

Universidad del Desarrollo (affiliated with Clínica Alemana)

Bachelor of Science, Medical Technology – Imaging and Medical Physics

Bachelor of Science
2020 - 2024

Work History

C

Clínica Indisa

Medical Imaging Technologist – X-Ray (Part Time)

Santiago
2025 - Present
C

Clínica Indisa

Medical Imaging Technologist – Hemodynamics (Part Time)

Santiago
2025 - Present