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Gerard Ekwu

Gerard Ekwu

AI Data Annotator | Computer Science Graduate | IT Support Specialist

Nigeria flagN/A, Nigeria
$10.00/hrEntry LevelCVAT

Key Skills

Software

CVATCVAT

Top Subject Matter

Surveillance and security

Top Data Types

ImageImage

Top Task Types

Object DetectionObject Detection
Data CollectionData Collection

Freelancer Overview

I am a Computer Science graduate from Chrisland University with a strong interest in artificial intelligence, machine learning, and data driven problem solving. My academic background and final year project gave me practical exposure to supervised learning, data preparation, annotation, and model evaluation. My major project focused on the development of a Human Threat Detection System using deep learning techniques. I worked with manually labeled image datasets and applied a Convolutional Neural Network based SSD method for object detection and threat identification. This project strengthened my understanding of data annotation, model training, accuracy evaluation, and the balance between speed and precision in AI systems. I am detail oriented, analytical, and quick to learn new tools and workflows.

Entry LevelEnglish

Labeling Experience

Developer, Human Threat Detection AI Project

ImageObject Detection
I developed a Human Threat Detection System using deep learning techniques. I applied supervised learning methods with labelled datasets to train and validate the computer vision model. My work focused on system accuracy and efficiency for surveillance applications. • Labeled images for threat detection tasks using CNN and SSD architectures. • Verified and validated annotated datasets for use in model training. • Participated in the iterative evaluation process to refine detection performance. • Ensured high-quality data labeling to achieve optimal results.

I developed a Human Threat Detection System using deep learning techniques. I applied supervised learning methods with labelled datasets to train and validate the computer vision model. My work focused on system accuracy and efficiency for surveillance applications. • Labeled images for threat detection tasks using CNN and SSD architectures. • Verified and validated annotated datasets for use in model training. • Participated in the iterative evaluation process to refine detection performance. • Ensured high-quality data labeling to achieve optimal results.

Not specified

Education

C

Chrisland University

Bachelor of Science, Computer Science

Bachelor of Science
2020 - 2024

Work History

D

Delta State Oil Producing Areas Development Commission

IT Administrative & Technical Support Intern

N/A
2025 - 2026
A

Aptech Computer Education

Learning Intern

Abeokuta
2023 - 2024