Sumiya Arshad

Key Skills

Software

Scale AI

Top Subject Matter

Radiology Domain Expertise

Medical Imaging

AI for Healthcare

Top Data Types

Image

Medical Dicom

Text

Top Task Types

Diagnosis

Text Generation

Question Answering

Evaluation/Rating

Freelancer Overview

Radiology AI Training Specialist (Contractor). Brings 12+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Scale AI. Education includes Fellowship of the Royal College of Radiologists, Royal College of Radiologists (2025) and Fellowship of the College of Physicians and Surgeons of Pakistan, College of Physicians and Surgeons of Pakistan (2019). AI-training focus includes data types such as Medical and DICOM and labeling workflows including Diagnosis.

Labeling Experience

Radiology AI Training Specialist (Contractor)

Scale AIDiagnosis

The specialist applied clinical radiology expertise to the training and refinement of AI large language models for diagnostic reasoning. They synthesized complex clinical cases to improve AI accuracy in detecting fractures, tumors, and acute pathologies. Expert review of AI-generated radiology reports ensured outputs met scientific and clinical standards.• Developed and refined diagnostic case scenarios for AI model training • Assessed and critiqued radiology reports generated by AI models • Provided feedback to bridge technical AI development with clinical practice • Contributed to quality improvement of medical AI tools

The specialist applied clinical radiology expertise to the training and refinement of AI large language models for diagnostic reasoning. They synthesized complex clinical cases to improve AI accuracy in detecting fractures, tumors, and acute pathologies. Expert review of AI-generated radiology reports ensured outputs met scientific and clinical standards.• Developed and refined diagnostic case scenarios for AI model training • Assessed and critiqued radiology reports generated by AI models • Provided feedback to bridge technical AI development with clinical practice • Contributed to quality improvement of medical AI tools

2026 - Present

Education

Work History