Wisdom Chimaobi Iheadikanwa

Key Skills

Software

Label Studio

Top Subject Matter

Radiology/healthcare/diagnostics Domain Expertise

NLP/Chatbot Development/Multilingual

Medical Lab/Healthcare/Parasite Detection

Top Data Types

Text

Image

Audio

Top Task Types

Classification

Entity Ner Classification

Freelancer Overview

Freelance Data Annotation Specialist. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include VGG Image Annotator and Label Studio. Education includes Bachelor of Medical Laboratory Science, Nnamdi Azikiwe University (2024). AI-training focus includes data types such as Medical, DICOM, and Text and labeling workflows including Classification and Entity (NER) Classification.

Labeling Experience

Freelance Data Annotation Specialist

Label StudioTextEntity Ner Classification

Labeled multilingual text datasets for natural language processing (NLP) chatbot development. Ensured cultural and linguistic relevance in all annotated datasets for language model training. Collaborated with startups to refine annotation guidelines and maximize dataset quality. • Curated text data with appropriate entity tagging. • Participated in cross-functional NLP annotation projects. • Developed and documented annotation best practices. • Helped boost NLP chatbot accuracy with targeted text labeling.

Labeled multilingual text datasets for natural language processing (NLP) chatbot development. Ensured cultural and linguistic relevance in all annotated datasets for language model training. Collaborated with startups to refine annotation guidelines and maximize dataset quality. • Curated text data with appropriate entity tagging. • Participated in cross-functional NLP annotation projects. • Developed and documented annotation best practices. • Helped boost NLP chatbot accuracy with targeted text labeling.

2023 - Present

Freelance Data Annotation Specialist

Classification

Annotated radiology images to train AI diagnostic models, ensuring data quality and accuracy across projects. Utilized VGG Image Annotator extensively for manual image classification and label consistency checks. Improved model accuracy by 18% through high-quality annotation in pilot trials. • Labeled radiology image datasets for machine learning. • Worked with startup teams to enhance AI-driven diagnostic tools. • Documented best practices for annotation processes. • Increased annotation efficiency and team collaboration.

Annotated radiology images to train AI diagnostic models, ensuring data quality and accuracy across projects. Utilized VGG Image Annotator extensively for manual image classification and label consistency checks. Improved model accuracy by 18% through high-quality annotation in pilot trials. • Labeled radiology image datasets for machine learning. • Worked with startup teams to enhance AI-driven diagnostic tools. • Documented best practices for annotation processes. • Increased annotation efficiency and team collaboration.

2023 - Present

AI in Healthcare Data Project - Dataset Builder and Annotator

Label StudioImageClassification

Created an open-source dataset by annotating malaria blood smear images for AI training purposes. Maintained rigorous quality control and documentation throughout the annotation pipeline. Published labeled datasets and supporting notebooks for use by data scientists worldwide. • Labeled blood smear images from WHO for malaria detection. • Implemented annotation and data preprocessing via Jupyter Notebooks. • Shared resources in a public GitHub repository to support open science. • Supported over 250 developer forks enhancing image classification research.

Created an open-source dataset by annotating malaria blood smear images for AI training purposes. Maintained rigorous quality control and documentation throughout the annotation pipeline. Published labeled datasets and supporting notebooks for use by data scientists worldwide. • Labeled blood smear images from WHO for malaria detection. • Implemented annotation and data preprocessing via Jupyter Notebooks. • Shared resources in a public GitHub repository to support open science. • Supported over 250 developer forks enhancing image classification research.

2023 - 2024

Education

Work History