Hibrahim Mohammed

Key Skills

Software

Clickworker

CVAT

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Video

Top Label Types

Computer Programming Coding

Freelancer Overview

Versatile AI Professional Specializing in Data Pipeline Development, Precision Annotation, and Intelligent Content Generation I am a versatile AI professional with a comprehensive skill set that bridges the gap between raw data and functional, intelligent systems. My expertise is rooted in a practical, project-driven approach, focusing on the critical tasks that fuel and refine machine learning models. My core competencies are organized around four key pillars: advanced data labeling, strategic prompt engineering, process automation, and high-quality AI content generation. My foundation in data labeling and annotation is both deep and precise. With hands-on experience using industry-standard platforms like Label Studio and CVAT, I have directly contributed to the training of computer vision models by performing meticulous image labeling and object detection tasks, drawing thousands of bounding boxes according to complex, client-specific guidelines. This has honed my ability to work with intense focus on repetitive, detail-oriented tasks for extended periods, ensuring a high degree of accuracy and consistency. I am adept at interpreting detailed annotation rules—such as multi-label classifications for objects like "metal_object" and "foreign_object"—and am proficient in maintaining this quality across large batches of 1,000+ images. My willingness to quickly learn new annotation techniques, including polygon segmentation for more precise masking, demonstrates my commitment.

Labeling Experience

Data leabelling

CVATImageBounding BoxPolygon

As an Image Labeling Specialist, I leveraged the CVAT platform to execute large-scale annotation projects for computer vision model training. My responsibilities included performing precise object detection by drawing bounding boxes across thousands of images according to specific client guidelines. I specialized in multi-label classification tasks, accurately identifying and categorizing objects while maintaining strict quality standards across batches of 1,000+ images. The role required meticulous attention to detail in interpreting complex annotation rules and applying consistent labeling methodologies. I developed efficient workflows within CVAT to optimize labeling speed while maintaining high accuracy rates, consistently meeting project deadlines and quality metrics. My work directly contributed to training datasets for various computer vision applications, demonstrating strong capabilities in handling repetitive, detail-oriented tasks with sustained focus and precision

As an Image Labeling Specialist, I leveraged the CVAT platform to execute large-scale annotation projects for computer vision model training. My responsibilities included performing precise object detection by drawing bounding boxes across thousands of images according to specific client guidelines. I specialized in multi-label classification tasks, accurately identifying and categorizing objects while maintaining strict quality standards across batches of 1,000+ images. The role required meticulous attention to detail in interpreting complex annotation rules and applying consistent labeling methodologies. I developed efficient workflows within CVAT to optimize labeling speed while maintaining high accuracy rates, consistently meeting project deadlines and quality metrics. My work directly contributed to training datasets for various computer vision applications, demonstrating strong capabilities in handling repetitive, detail-oriented tasks with sustained focus and precision

2023

Education

Work History