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M

Mashal Fatima Farooq

Medical Data Annotation & AI Training (Freelance/Academic projects)

Pakistan flagFaisalabad, Pakistan
$20.00/hrEntry Level

Key Skills

Software

No software listed

Top Subject Matter

Medical AI
Medicine Domain Expertise
Pathology Domain Expertise

Top Data Types

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Top Task Types

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Freelancer Overview

As an FCPS resident in pulmonology with seven academic distinctions in core medical domains, I bring elite clinical precision to medical data labelling and AI training. My expertise is centred on clinical reasoning verification and high-fidelity fact-checking. Having ranked 2nd and 6th in a cohort of 300+ students, I possess the rigorous attention to detail required to identify nuances in diagnostic data and pharmacological logic. My background includes significant experience in medical research, with a manuscript currently under review by the BMJ Group. This has refined my ability to synthesise complex literature and verify evidence-based treatments. Additionally, my participation in international challenges like Brain Rush: Microfest demonstrates my capacity for rapid, accurate clinical reasoning. I am committed to providing the expert "human-in-the-loop" validation necessary to develop safe and reliable medical AI models.

Entry LevelEnglishUrduPunjabi

Labeling Experience

Medical Data Annotation & AI Training (Freelance/Academic projects)

TextClassification
Demonstrated expertise in medical logic verification, data annotation, and literature review in support of AI development for the medical field. Reviewed and annotated medical literature and clinical reasoning examples to train and validate language models and diagnostic algorithms. Applied deep subject matter knowledge in pathology, medicine, and biochemistry to label and audit data for quality and accuracy. • Ensured consistency and accuracy in annotation of medical cases. • Participated in the development of AI datasets for diagnostic and clinical reasoning tasks. • Verified correctness of AI-generated outputs through subject matter expertise. • Supported the training of Medical AI and LLM systems through detailed annotation work.

Demonstrated expertise in medical logic verification, data annotation, and literature review in support of AI development for the medical field. Reviewed and annotated medical literature and clinical reasoning examples to train and validate language models and diagnostic algorithms. Applied deep subject matter knowledge in pathology, medicine, and biochemistry to label and audit data for quality and accuracy. • Ensured consistency and accuracy in annotation of medical cases. • Participated in the development of AI datasets for diagnostic and clinical reasoning tasks. • Verified correctness of AI-generated outputs through subject matter expertise. • Supported the training of Medical AI and LLM systems through detailed annotation work.

Not specified

Education

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College of Physicians and Surgeons Pakistan

Fellow of College of Physicians and Surgeons Part I, Medicine and Allied Health Sciences

Fellow of College of Physicians and Surgeons Part I
2025 - 2025
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Punjab Medical College, Faisalabad Medical University

Bachelor of Medicine, Bachelor of Surgery, Medicine and Surgery

Bachelor of Medicine, Bachelor of Surgery
2018 - 2024

Work History

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Allied Hospital

Pulmonology Resident

Faisalabad
2026 - Present
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National Hospital

Medical Officer

Faisalabad
2025 - 2026