Key Skills

Software

AWS SageMaker

CVAT

Labelbox

Label Studio

Prodigy

Roboflow

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Video

Top Task Types

Bounding Box

Entity Ner Classification

Polygon

Segmentation

Text Summarization

Freelancer Overview

I have hands-on experience in data annotation across image, video, and text formats, using tools such as CVAT, Roboflow, Pigeon in Google Colab, AWS SageMaker Ground Truth, and Azure ML Studio. My expertise includes bounding box labeling, polygon segmentation, auto-labeling, object tracking, and NLP annotation tasks like text classification and Named Entity Recognition (NER). I developed these skills through a project-based course, Hands-On Data Annotation: Applied Machine Learning on LinkedIn Learning, where I worked on real datasets and industry-aligned annotation techniques. What sets me apart is my attention to detail, commitment to accuracy, and the ability to quickly learn and adapt to new tools and workflows. I’ve successfully completed multiple annotation projects including self-driving car imagery, e-commerce product tagging, and NLP datasets. I thrive in roles that require precision, teamwork, and thoughtful contributions to high-quality AI training data

Labeling Experience

Education

Work History