Gracious Usang

Key Skills

Software

OneForma

Labelbox

Doccano

Top Subject Matter

Healthcare Data & Medical Documentation

Nlp Domain Expertise

Computer Vision

Top Data Types

Text

Image

Top Task Types

Classification

Segmentation

Entity (NER) Classification

Freelancer Overview

AI Trainer & Data Annotator. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include OneForma, Labelbox, and Doccano. Education includes Bachelor of Medicine, Bachelor of Surgery, University of Calabar (2024). AI-training focus includes data types such as Text, Medical, and DICOM and labeling workflows including Classification, Segmentation, and Entity (NER) Classification.

Labeling Experience

AI Trainer & Data Annotator

OneformaTextClassification

As an AI Trainer & Data Annotator at OneForma, I labeled and curated datasets for machine learning, focusing on text, image, video, and medical data. I contributed to AI model training and quality assurance, providing domain-specific medical expertise. My work supported both NLP and computer vision projects targeting healthcare improvements. • Collected and labeled diverse datasets including medical records and imaging. • Worked with annotation tools such as Labelbox, Prodigy, and Doccano. • Supported translation/localization and NLP dataset development. • Maintained high standards for data quality and ethical use.

As an AI Trainer & Data Annotator at OneForma, I labeled and curated datasets for machine learning, focusing on text, image, video, and medical data. I contributed to AI model training and quality assurance, providing domain-specific medical expertise. My work supported both NLP and computer vision projects targeting healthcare improvements. • Collected and labeled diverse datasets including medical records and imaging. • Worked with annotation tools such as Labelbox, Prodigy, and Doccano. • Supported translation/localization and NLP dataset development. • Maintained high standards for data quality and ethical use.

2020 - Present

Radiology Annotation Project

LabelboxSegmentation

I annotated diagnostic imaging data for use in AI-driven radiology systems. My work helped train medical imaging models to accurately identify and categorize clinical features. This supported improvements in automated diagnostic processes. • Labeled radiology images using medical expertise. • Ensured precise segmentation of anatomical regions. • Collaborated with interdisciplinary teams for annotation quality. • Focused on enhancing diagnostic support through AI.

I annotated diagnostic imaging data for use in AI-driven radiology systems. My work helped train medical imaging models to accurately identify and categorize clinical features. This supported improvements in automated diagnostic processes. • Labeled radiology images using medical expertise. • Ensured precise segmentation of anatomical regions. • Collaborated with interdisciplinary teams for annotation quality. • Focused on enhancing diagnostic support through AI.

2023 - 2023

Clinical NLP Dataset Creation

DoccanoTextEntity Ner Classification

I curated and annotated patient records to build datasets for clinical NLP applications. This work enabled the extraction of relevant clinical entities from electronic health records. The dataset supported NLP model development for healthcare analytics. • Cleaned and pre-processed sensitive medical text data. • Used Doccano to annotate medical entities in clinical narratives. • Helped refine extraction pipelines for clinical terms and events. • Maintained confidentiality and data security standards.

I curated and annotated patient records to build datasets for clinical NLP applications. This work enabled the extraction of relevant clinical entities from electronic health records. The dataset supported NLP model development for healthcare analytics. • Cleaned and pre-processed sensitive medical text data. • Used Doccano to annotate medical entities in clinical narratives. • Helped refine extraction pipelines for clinical terms and events. • Maintained confidentiality and data security standards.

2022 - 2022

Education

Work History