Anthony Chiagozie Okika

Key Skills

Software

CVAT

Top Subject Matter

No subject matter listed

Top Data Types

Image

Top Label Types

Polygon

Freelancer Overview

I am a detail-oriented professional with a strong background in cybersecurity, IT systems management, and hands-on experience in data-driven environments. My expertise includes working with a range of tools such as AWS, SIEM platforms, Python, and Linux, which has equipped me with the technical skills needed for high-quality data labeling and annotation tasks. I have a proven track record in threat detection, incident response, and process optimization, ensuring accuracy and efficiency in handling sensitive and complex data. My experience collaborating with diverse teams, combined with my analytical mindset and commitment to best practices, enables me to contribute effectively to AI training data projects across domains like security, IT, and digital forensics. I am dedicated to continuous learning and delivering precise, reliable results in fast-paced, high-pressure environments.

Labeling Experience

Image Annotation

CVATImagePolygon

This project focuses on the creation of a high-quality polygon-annotated image dataset of website screenshots to support visual phishing detection using deep learning. Traditional phishing detection methods rely heavily on URL analysis and textual features, but often fail against visually convincing phishing pages. To address this limitation, this project applies polygon-based image annotation to accurately label irregular and overlapping webpage elements such as login forms, buttons, logos, text fields, and URL bars.

This project focuses on the creation of a high-quality polygon-annotated image dataset of website screenshots to support visual phishing detection using deep learning. Traditional phishing detection methods rely heavily on URL analysis and textual features, but often fail against visually convincing phishing pages. To address this limitation, this project applies polygon-based image annotation to accurately label irregular and overlapping webpage elements such as login forms, buttons, logos, text fields, and URL bars.

2025 - 2025

Education

Work History