Shivam Kumar

Key Skills

Software

Roboflow

Top Subject Matter

Sports Image Object Detection

Top Data Types

Image

Top Task Types

Classification

Bounding Box

Freelancer Overview

Data Annotation Specialist. Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Roboflow. Education includes Bachelor of Technology, National Institute of Technology, Rourkela (2023). AI-training focus includes data types such as Image and labeling workflows including Bounding Box.

Labeling Experience

Data Annotation Specialist

RoboflowImageClassificationBounding Box

As a Data Annotation Specialist at Courtlay, I meticulously labeled and categorized over 7,000 padel ball and sports area images to aid machine learning model development. By utilizing precise YOLO-style bounding boxes, I processed more than 10,000 frames within stringent 2-week sprint cycles. I ensured a minimum Intersection over Union (IoU) threshold of 0.85 for all annotated data, resulting in high-quality ground truth datasets. • Delivered large datasets by collaborating with team members on annotation workflow improvements. • Used Roboflow, OpenCV, and CVAT for annotation and image management tasks. • Maintained rigorous accuracy and consistency during high-volume annotation periods. • Facilitated the preparation of data assets pivotal for downstream computer vision projects.

As a Data Annotation Specialist at Courtlay, I meticulously labeled and categorized over 7,000 padel ball and sports area images to aid machine learning model development. By utilizing precise YOLO-style bounding boxes, I processed more than 10,000 frames within stringent 2-week sprint cycles. I ensured a minimum Intersection over Union (IoU) threshold of 0.85 for all annotated data, resulting in high-quality ground truth datasets. • Delivered large datasets by collaborating with team members on annotation workflow improvements. • Used Roboflow, OpenCV, and CVAT for annotation and image management tasks. • Maintained rigorous accuracy and consistency during high-volume annotation periods. • Facilitated the preparation of data assets pivotal for downstream computer vision projects.

2026 - 2026

Education

Work History