Thiago M.

Key Skills

Software

Other

Top Subject Matter

Clinical Radiology & Diagnostic Imaging (Computed Tomography & X-Ray)

Medical Data Annotation & Image Segmentation

Emergency radiology image datasets (acute CT and X-Ray)

Top Data Types

Image

Medical Dicom

Text

Top Task Types

Classification

Diagnosis

Segmentation

Bounding Box

Object Detection

Polygon

Text Summarization

Question Answering

Evaluation/Rating

Freelancer Overview

As a board-certified Radiologist with extensive clinical practice, I bring a wealth of experience in high-volume teleradiology and emergency diagnostic imaging. Currently, I process over 1,300 examinations per month—primarily Computed Tomography (CT) and digital X-Ray—across diverse clinical settings including emergency services and outpatient centers. My daily routine involves rapid, precise decision-making and strict diagnostic accuracy in a 100% digital, cloud-based PACS environment, ensuring each case is handled with high-level clinical rigor. My clinical expertise directly translates into high-quality AI training and medical data labeling capabilities. I am highly proficient in managing complex DICOM datasets through tools like RadiAnt and Weasis, coupled with a deep mastery of structured reporting that minimizes linguistic ambiguity for machine learning pipelines. I am adept at identifying, segmenting, and classifying anatomical structures and pathologies, and I offer the precise domain knowledge required to establish ground-truth datasets for medical computer vision and NLP models.

Labeling Experience

Remote Medical Data Validator & Radiologist at Vx Teleradiologia

Performed remote validation of high-resolution diagnostic imaging cases for machine-learning pipeline readiness. Applied consistent formatting and standardized terminology across large monthly volumes of CT and X-Ray cases. Ensured data quality under a structured cloud-based workflow for downstream model use. • Reviewed 700 to 800 diagnostic imaging cases per month, primarily multi-slice CT and digital X-Rays. • Audited diagnostic data for syntax discipline and terminology consistency. • Prepared validated outputs for downstream machine-learning pipelines. • Operated within an integrated cloud ecosystem for remote high-volume review.

2025 - Present

Outpatient Data Standardization Specialist at Policlínica Metropolitana de Belém

OtherTextEntity (NER) Classification

Standardized outpatient CT report text to improve uniformity for medical NLP datasets. Reduced variability from clinical jargon by applying consistent structured reporting conventions. Produced large volumes of high-precision structured reports suitable for downstream language-model training. • Formulated 200 to 250 structured CT reports per month. • Eliminated jargon variance to maximize text dataset uniformity. • Ensured consistent terminology and structure across ambulatory cases. • Prepared standardized textual outputs for medical NLP preprocessing.

2020 - Present

High-Volume Clinical Image Reviewer at Hospital Adventista de Belém

OtherClassification

Classified and audited acute emergency CT and X-Ray datasets under strict temporal constraints. Identified and assessed critical pathological patterns to support high-quality diagnostic labels for AI development. Managed dataset consistency across multiple weekly shifts while handling large case throughput. • Audited 30 complex CT cases per shift and 350 to 400 cases monthly. • Performed classification of CT and X-Ray findings for emergency datasets. • Applied advanced pattern recognition for life-threatening pathologies. • Supported anomaly-detection AI model training through curated, high-signal labels.

2020 - Present

Teleradiology Data Contributor & Radiologist at Medcloud

Diagnosis

Contributed and evaluated emergency CT examinations through a remote cloud imaging workflow. Reviewed and labeled high-volume emergency CT cases with an emphasis on diagnostic correctness and dataset usability. Delivered consistent labeled outputs for use in medical AI development pipelines. • Evaluated and labeled 250 to 300 emergency CT examinations monthly. • Managed a remote high-volume imaging data stream over a cloud-based network. • Performed diagnostic review to generate high-quality labeled data. • Ensured outputs were suitable for downstream AI training and validation.

2024 - 2026

Medical Resident (Image Analysis & Dataset Training) at Fundação Santa Casa de Misericórdia do Pará

OtherData Collection

Performed foundational image analysis work to build the domain knowledge required for medical ground-truth labeling. Acquired multi-modal radiology expertise across several imaging modalities to support consistent labeling practices. Translated clinical understanding into dataset training readiness for future annotation work. • Analyzed cross-sectional imaging modalities including CT, MRI, Mammography, and X-Ray. • Developed baseline expertise needed for ground-truth medical labeling. • Built consistency in clinical interpretation for training datasets. • Supported dataset training through hands-on radiology analysis.

2017 - 2020

Education

Work History