Olusegun James

Key Skills

Software

CVAT

Top Subject Matter

No subject matter listed

Top Data Types

Image

Top Label Types

Bounding Box

Segmentation

Freelancer Overview

I am a software engineer with 4 years of experience building robust backend systems and APIs, with a strong focus on data quality, secure data handling, and system integration. My expertise in Python, Java, SQL, and cloud-native tools like AWS, Docker, and Kubernetes enables me to design and maintain data pipelines and services that ensure reliable data flow and integrity—critical for high-quality data labeling and AI training workflows. I have worked closely with QA and product teams to deliver stable, well-documented systems, and have hands-on experience with database optimization, REST API development, and automation. My projects, such as building a scalable task management API and developing an automated e-commerce price tracker, demonstrate my ability to manage, process, and annotate data efficiently for various domains. I am passionate about delivering clean, validated data and supporting the infrastructure needed for effective AI model training and evaluation.

Labeling Experience

Image Annotation for Autonomous Driving Dataset (Object Detection & Segmentation)

CVATImageBounding BoxSegmentation

In this project, I annotated over 800 high-resolution street-level images for an autonomous vehicle AI training dataset. Tasks included drawing precise bounding boxes around objects such as vehicles, pedestrians, cyclists, traffic signs, and road obstacles, as well as semantic segmentation masks for drivable areas, lane lines, and sidewalks. Project size: about 8,500 images, with 45,000+ individual annotations.

In this project, I annotated over 800 high-resolution street-level images for an autonomous vehicle AI training dataset. Tasks included drawing precise bounding boxes around objects such as vehicles, pedestrians, cyclists, traffic signs, and road obstacles, as well as semantic segmentation masks for drivable areas, lane lines, and sidewalks. Project size: about 8,500 images, with 45,000+ individual annotations.

2025 - 2025

Education

Work History