Syed Mubeen

Key Skills

Software

Labelbox

Top Subject Matter

No subject matter listed

Top Data Types

Image

Top Label Types

Classification

Freelancer Overview

With over 5 years of experience as a DevOps Engineer, I have developed strong expertise in managing and automating cloud environments, CI/CD pipelines, and infrastructure provisioning, all of which are critical for large-scale data labeling and AI training data workflows. My background includes extensive hands-on work with AWS, Docker, Kubernetes, and Terraform, enabling efficient deployment and scaling of microservices and data processing pipelines. I am skilled in using automation tools like Jenkins, Ansible, and scripting with Bash to streamline repetitive tasks, manage large datasets, and ensure high data quality. My experience collaborating with cross-functional teams and troubleshooting complex issues has equipped me to support robust, reliable data annotation and training data operations for AI projects.

Labeling Experience

Freelance AI Data Labeling & Model Evaluation

LabelboxImageClassification

Provided high-volume image, technical, and text annotation services for AI/ML training projects as a freelancer. Performed quality review and accuracy checks on AI-generated outputs for compliance with project guidelines. Demonstrated accuracy, consistency, and attention to detail in all data labeling tasks. • Labeled mechanical, technical, and language-based datasets for AI training. • Followed strict annotation guidelines and maintained high-quality standards. • Evaluated AI-generated labels for accuracy and relevance. • Delivered results in a fast-paced, deadline-driven environment.

Provided high-volume image, technical, and text annotation services for AI/ML training projects as a freelancer. Performed quality review and accuracy checks on AI-generated outputs for compliance with project guidelines. Demonstrated accuracy, consistency, and attention to detail in all data labeling tasks. • Labeled mechanical, technical, and language-based datasets for AI training. • Followed strict annotation guidelines and maintained high-quality standards. • Evaluated AI-generated labels for accuracy and relevance. • Delivered results in a fast-paced, deadline-driven environment.

2023 - 2024

Education

Work History