Devanshu Rathee

Key Skills

Software

Label Studio

Top Subject Matter

No subject matter listed

Top Data Types

Text

Top Label Types

Classification

Freelancer Overview

With a strong background as an MD Medicine resident, I bring extensive experience in clinical case presentation, medical writing, and structured data organization. My work in creating academic and patient education content has honed my attention to detail and accuracy, essential for data labeling and annotation in healthcare and medical domains. I am skilled at translating complex medical information into clear, structured formats, and have authored evidence-based health, fitness, and nutrition articles for a diverse audience. I am eager to apply my expertise in medical data and digital content creation to support high-quality AI training datasets and contribute to advancements in healthcare technology.

Labeling Experience

Medical Text Validation & Scientific Editing for AI training

Label StudioTextClassification

As a medical content creator and editor, I have contributed to AI training projects by reviewing, structuring, and validating medical texts for clarity and accuracy. My experience includes ensuring consistency and reliability in health-related content, making it suitable for data annotation and classification tasks. I applied evidence-based writing to improve the quality and accessibility of medical data for AI models. • Ensured clarity and clinical accuracy in medical texts • Conducted structured review and validation of health content • Improved readability and usability for AI training datasets • Supported quality control in medical data labeling

As a medical content creator and editor, I have contributed to AI training projects by reviewing, structuring, and validating medical texts for clarity and accuracy. My experience includes ensuring consistency and reliability in health-related content, making it suitable for data annotation and classification tasks. I applied evidence-based writing to improve the quality and accessibility of medical data for AI models. • Ensured clarity and clinical accuracy in medical texts • Conducted structured review and validation of health content • Improved readability and usability for AI training datasets • Supported quality control in medical data labeling

2024

Education

Work History