Syed Mubashir I.

Key Skills

Software

CVAT

Roboflow

Internal/Proprietary Tooling

Top Subject Matter

Computer Vision/Object Recognition

Computer Vision/Data Annotation

Top Data Types

Image

Video

Document

Top Task Types

Object Detection

Bounding Box

Polygon

Segmentation

Freelancer Overview

Data Labeler/Annotation Specialist (xLoop Digital). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include CVAT and X-AnyLabeling. Education includes Bachelor of Economics, University of Malaya (2018) and Higher Secondary Certificate, DA Degree College for Men (2010). AI-training focus includes data types such as Image and labeling workflows including Object Detection.

Labeling Experience

Data Labeler (Fulfil Solutions Inc.)

ImageObject Detection

Currently working as a Data Labeler at Fulfil Solutions Inc., focusing on supporting AI/ML projects through precise and thorough annotation of image datasets. Responsible for ensuring labeled data meets high quality standards and project-specific requirements. Contribution involves close adherence to labeling protocols and collaboration with team members to achieve operational objectives. • Maintains consistency and accuracy across multiple labeling assignments. • Applies feedback to improve annotation processes and outcomes. • Assists in data validation and quality control initiatives. • Documents challenges and proposes workflow improvements for enhanced efficiency.

2024 - Present

Data Labeler/Annotation Specialist (xLoop Digital)

CVATImageObject Detection

Built and organized image datasets for object recognition and categorization projects using CVAT and X-AnyLabeling. Ensured labeling accuracy, consistency, and adherence to project standards across client initiatives. Utilized fundamental image transformation techniques to improve model training outcomes. • Engaged in the design and implementation of computer vision workflows. • Coordinated dataset preparation and maintenance activities. • Leveraged labeling tools to standardize annotation processes. • Collaborated with engineering teams to support annotation system integration.

2024 - Present

Education

Work History