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Elmuiz Hsabo

Elmuiz Hsabo

Histopathology Trainee & Medical AI Training Specialist

United Kingdom flagLiverpool, United Kingdom
$100.00/hrEntry LevelOther

Key Skills

Software

Other

Top Subject Matter

Histopathology Domain Expertise
Medical Imaging Diagnostics
General Surgery

Top Data Types

TextText
ImageImage

Top Task Types

Diagnosis
RLHF

Freelancer Overview

Histopathology Trainee & Medical AI Training Specialist. Brings 10+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Master of Surgery, University of Edinburgh (2020) and Membership of the Royal College of Surgeons, Royal College of Surgeons of Edinburgh (2016). AI-training focus includes data types such as Medical, DICOM, and Text and labeling workflows including Diagnosis and RLHF.

Entry LevelEnglishArabicGerman

Labeling Experience

Histopathology Trainee & Medical AI Training Specialist

Diagnosis
As a Histopathology Specialty Trainee and Medical AI Training Specialist, I performed microscopic analysis of tissue samples to create structured clinical reports for AI ground truth validation. My work involved translating digital pathology images into clinically validated diagnostic data for algorithm training and validation. I provided iterative feedback to AI developers to ensure model outputs aligned with clinical best practices and pathology standards. • Annotated and validated digital histopathology images for malignancy grading and morphology. • Utilized digital pathology software for structured data labeling and reporting. • Served as a subject matter expert for human-in-the-loop (HITL) AI feedback workflows. • Ensured alignment of AI outputs with gold-standard diagnostic criteria.

As a Histopathology Specialty Trainee and Medical AI Training Specialist, I performed microscopic analysis of tissue samples to create structured clinical reports for AI ground truth validation. My work involved translating digital pathology images into clinically validated diagnostic data for algorithm training and validation. I provided iterative feedback to AI developers to ensure model outputs aligned with clinical best practices and pathology standards. • Annotated and validated digital histopathology images for malignancy grading and morphology. • Utilized digital pathology software for structured data labeling and reporting. • Served as a subject matter expert for human-in-the-loop (HITL) AI feedback workflows. • Ensured alignment of AI outputs with gold-standard diagnostic criteria.

2023 - Present

Clinical Logic Validator – Medical AI RLHF Contributor

OtherTextRLHF
I contributed to reinforcement learning with human feedback (RLHF) tasks in the medical AI domain, focusing on clinical logic validation and scenario-based evaluation of AI-driven recommendations. My expertise ensured that AI-generated clinical pathways adhered to up-to-date surgical safety protocols. I participated in the rating and evaluation of AI outputs to enhance model reliability for surgical care applications. • Reviewed and rated AI-generated clinical decision support content for accuracy. • Assessed natural language outputs for precision in diagnostic reasoning. • Provided structured feedback to AI developers to refine training datasets. • Validated adherence of AI recommendations to established guidelines (NICE/BOO/RCSEd).

I contributed to reinforcement learning with human feedback (RLHF) tasks in the medical AI domain, focusing on clinical logic validation and scenario-based evaluation of AI-driven recommendations. My expertise ensured that AI-generated clinical pathways adhered to up-to-date surgical safety protocols. I participated in the rating and evaluation of AI outputs to enhance model reliability for surgical care applications. • Reviewed and rated AI-generated clinical decision support content for accuracy. • Assessed natural language outputs for precision in diagnostic reasoning. • Provided structured feedback to AI developers to refine training datasets. • Validated adherence of AI recommendations to established guidelines (NICE/BOO/RCSEd).

2020 - Present

Education

U

University of Edinburgh

Master of Surgery, General Surgery

Master of Surgery
2020 - 2020
R

Royal College of Surgeons of Edinburgh

Membership of the Royal College of Surgeons, Surgery

Membership of the Royal College of Surgeons
2016 - 2016

Work History

M

Mersey and West Lancashire Teaching Hospitals NHS Trust

ST Histopathology Trainee

Liverpool
2023 - Present
B

Buckinghamshire Healthcare NHS Trust

Trust Grade Registrar in Urology

Aylesbury
2025 - 2025