Brian O.

Key Skills

Software

CVAT

Appen

Argilla

AWS SageMaker

Encord

Label Studio

LabelImg

Google Cloud Vertex AI

Top Subject Matter

Medical Imaging/Diagnostics

Telemedicine Triage/Healthcare NLP

Top Data Types

Image

Text

Document

Top Task Types

Segmentation

Classification

Polygon

Bounding Box

Freelancer Overview

Medical Imaging Annotation Pipeline Lead (Healthcare AI). Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include CVAT and Appen. Education includes Bachelor of Science, Kenyatta University (2020). AI-training focus includes data types such as Image and Text and labeling workflows including Segmentation and Classification.

Labeling Experience

Medical Imaging Annotation Pipeline Lead (Healthcare AI)

CVATImageSegmentation

Managed annotation pipelines for medical imaging data involving diagnostic tasks on AWS SageMaker and Google Cloud Vertex AI. Coordinated the use of CVAT for image annotation and Encord for clinician review and correction. Ensured the iterative improvement of labeled data for model accuracy and clinical relevance. • Projects included rapid diagnostic model development. • Led feedback loops for continuous data quality control. • Balanced use of Appen, Argilla, and Label Studio per project needs. • Emphasized creating datasets with real patient language and context.

2021 - 2025

Conversation Labeling for Medical Triage Chatbot (Personal Project)

AppenTextClassification

Gathered and labeled over 12,000 patient-doctor conversation samples for a telemedicine chatbot aiming to triage rural clinic patients. Utilized Appen to ensure linguistic diversity and local relevance in symptom descriptions for English and Swahili text. The labeled data was crucial for training and fine-tuning an NLP classifier deployed on AWS SageMaker. • Focused on symptom severity classification and emergency flagging. • Included informal and locally relevant expressions. • Independent personal project with outreach to rural clinics. • Pilot showed tangible patient flow improvements and early critical issue detection.

2024 - 2024

Education

Work History