Vaishnavireddy Bondugula

Key Skills

Software

Mercor

Top Subject Matter

Radiology/Medical Imaging

Medical Imaging (CT, MRI, X-ray)

Top Data Types

Image

Top Task Types

Diagnosis

Freelancer Overview

Radiologist – AI Data Reviewer. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Mercor and Anolytics AI. Education includes Doctor of Medicine, Shri BM Patil Medical College and Research Centre (2025) and Bachelor of Medicine, Bachelor of Surgery, Apollo Medical College and Research Centre (2021). AI-training focus includes data types such as Medical and DICOM and labeling workflows including Diagnosis.

Labeling Experience

Radiologist Annotator / Medical Imaging Annotator

Diagnosis

Annotated and validated medical imaging datasets, including CT, MRI, and X-ray, to support AI model training and evaluation. Ensured structured labeling and clinical accuracy aligned with radiology standards. Conducted quality assurance and maintained data consistency throughout the annotation process. • Supported AI projects through precise medical image annotation. • Applied diagnostic expertise for accurate data labeling. • Focused on data standardization and labeling protocol compliance. • Contributed to AI-driven diagnostic tool development and validation.

Annotated and validated medical imaging datasets, including CT, MRI, and X-ray, to support AI model training and evaluation. Ensured structured labeling and clinical accuracy aligned with radiology standards. Conducted quality assurance and maintained data consistency throughout the annotation process. • Supported AI projects through precise medical image annotation. • Applied diagnostic expertise for accurate data labeling. • Focused on data standardization and labeling protocol compliance. • Contributed to AI-driven diagnostic tool development and validation.

2026 - Present

Radiologist – AI Data Reviewer

MercorDiagnosis

Performed high-precision annotation and validation of radiology datasets for AI model training and improvement. Ensured clinically accurate labeling by applying radiological expertise to dataset creation and review protocols. Collaborated with AI teams to enhance dataset reliability and model diagnostic performance. • Contributed to data quality control for radiology images. • Maintained labeling accuracy and consistency aligned with diagnostic standards. • Supported the development and evaluation of AI imaging models. • Utilized remote annotation tools to streamline radiology data workflows.

Performed high-precision annotation and validation of radiology datasets for AI model training and improvement. Ensured clinically accurate labeling by applying radiological expertise to dataset creation and review protocols. Collaborated with AI teams to enhance dataset reliability and model diagnostic performance. • Contributed to data quality control for radiology images. • Maintained labeling accuracy and consistency aligned with diagnostic standards. • Supported the development and evaluation of AI imaging models. • Utilized remote annotation tools to streamline radiology data workflows.

2026 - Present

Education

Work History