Key Skills

Software

Data Annotation Tech

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Top Task Types

Computer Programming/Coding

Freelancer Overview

I have hands-on experience in data labeling and AI training data preparation through multiple academic and project-based initiatives involving machine learning, image classification, and model evaluation. My work spans preprocessing large datasets, cleaning and annotating images, ensuring class balance, and preparing high-quality datasets for deep learning models like ResNet, DenseNet, Inception, and Xception. I have extensively worked with histopathological image datasets such as LC25000, performing tasks like organizing data into structured folders, validating label integrity, augmenting images, and generating explainability visualizations (Grad-CAM) to support model transparency. Beyond labeling, I have deep experience developing end-to-end AI pipelines. I have built full workflows that include data ingestion, annotation validation, preprocessing, model training, evaluation, deployment, and integration with cloud services like Azure. In several projects—such as cancer diagnosis using deep learning and EV range prediction—I handled dataset preparation, metadata management, and quality checks to ensure the reliability of AI outputs. My combination of practical ML experience, attention to dataset quality, and ability to work with complex image data makes me well-equipped for AI training, labeling, and data preparation roles.

Labeling Experience

Education

Work History