Sabastian Mmbwavi

Key Skills

Software

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Medical Dicom

Text

Video

Top Label Types

Action Recognition

Audio Recording

Classification

Diagnosis

Emotion Recognition

Mapping

Question Answering

Freelancer Overview

I am a detail-oriented professional with a strong background in healthcare data annotation and medical documentation, specializing in supporting AI and machine learning initiatives. My experience as a Digital Annotator at TELUS International has equipped me with expertise in analyzing, classifying, and annotating healthcare datasets, as well as validating both structured and unstructured medical records for accuracy and consistency. I am highly skilled in electronic health records (EHR) management, DRG classification, and upholding strict data confidentiality standards. My clinical background enables me to interpret complex medical information and ensure data integrity, while my proficiency with digital tools and remote workflows allows me to deliver high-quality results in cross-functional team settings. I am passionate about contributing to AI training projects that rely on precise and reliable healthcare data.

Labeling Experience

Digital Annotator – TELUS International

TelusTextClassification

I analyzed, classified, and annotated healthcare-related datasets for AI and machine learning systems. I reviewed and validated structured and unstructured medical documentation for accuracy and consistency. I supported AI model training by structuring and labeling complex medical text data. • Ensured strict confidentiality and secure handling of sensitive health information. • Identified dataset discrepancies and recommended workflow improvements. • Collaborated remotely to adhere to labeling guidelines and standards. • Enhanced model performance through quality assurance in data annotation.

I analyzed, classified, and annotated healthcare-related datasets for AI and machine learning systems. I reviewed and validated structured and unstructured medical documentation for accuracy and consistency. I supported AI model training by structuring and labeling complex medical text data. • Ensured strict confidentiality and secure handling of sensitive health information. • Identified dataset discrepancies and recommended workflow improvements. • Collaborated remotely to adhere to labeling guidelines and standards. • Enhanced model performance through quality assurance in data annotation.

2024

Education

Work History