Key Skills

Software

Labelbox

CVAT

Roboflow

Top Subject Matter

No subject matter listed

Top Data Types

Video

Image

Text

Top Task Types

Object Detection

Tracking

Freelancer Overview

I am a detail-oriented AI Training Specialist with over 3 years of experience in high-quality data labeling and annotation for machine learning projects, particularly in computer vision and audio domains. My expertise includes annotating images, videos, and audio data using industry-standard tools such as Labelbox, CVAT, and Label Studio, as well as implementing YOLO-based detection and tracking pipelines for object detection, multi-object tracking, and semantic segmentation. I have a strong track record of improving annotation efficiency and dataset quality by leveraging model-assisted pre-annotation, custom ontologies, and rigorous quality assurance processes. I am skilled at mentoring junior annotators, collaborating with ML engineers, and adapting workflows to meet project-specific requirements, consistently delivering accurate and robust datasets that support real-world AI deployments.

Labeling Experience

Video Object Tracking & Detection Annotation for Autonomous Systems Project

RoboflowTextObject DetectionTracking

In this large-scale project, I led annotation efforts for video datasets used to train computer vision models in autonomous driving and urban surveillance applications. Handled over 15,000 video frames from dashcam and CCTV footage, focusing on precise object detection and multi-object tracking in dynamic, real-world environments (day/night, varying weather, occlusions, crowded scenes).

In this large-scale project, I led annotation efforts for video datasets used to train computer vision models in autonomous driving and urban surveillance applications. Handled over 15,000 video frames from dashcam and CCTV footage, focusing on precise object detection and multi-object tracking in dynamic, real-world environments (day/night, varying weather, occlusions, crowded scenes).

2024 - 2025

Video Object Tracking & Detection Annotation for Autonomous Systems Project

CVATImageObject DetectionTracking

In this large-scale project, I led annotation efforts for video datasets used to train computer vision models in autonomous driving and urban surveillance applications. Handled over 15,000 video frames from dashcam and CCTV footage, focusing on precise object detection and multi-object tracking in dynamic, real-world environments (day/night, varying weather, occlusions, crowded scenes).

In this large-scale project, I led annotation efforts for video datasets used to train computer vision models in autonomous driving and urban surveillance applications. Handled over 15,000 video frames from dashcam and CCTV footage, focusing on precise object detection and multi-object tracking in dynamic, real-world environments (day/night, varying weather, occlusions, crowded scenes).

2024 - 2025

Video Object Tracking & Detection Annotation for Autonomous Systems Project

LabelboxVideoObject DetectionTracking

In this large-scale project, I led annotation efforts for video datasets used to train computer vision models in autonomous driving and urban surveillance applications. Handled over 15,000 video frames from dashcam and CCTV footage, focusing on precise object detection and multi-object tracking in dynamic, real-world environments (day/night, varying weather, occlusions, crowded scenes).

In this large-scale project, I led annotation efforts for video datasets used to train computer vision models in autonomous driving and urban surveillance applications. Handled over 15,000 video frames from dashcam and CCTV footage, focusing on precise object detection and multi-object tracking in dynamic, real-world environments (day/night, varying weather, occlusions, crowded scenes).

2024 - 2025

Education

Work History