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M
Mhd S.

Mhd S.

Medical AI training/evaluation preparation based on clinical observership and stated AI workflow expertise

Uzbekistan flagDoha, Uzbekistan

Key Skills

Software

No software listed

Top Subject Matter

Healthcare AI evaluation and clinical data structuring

Top Data Types

No data types listed

Top Task Types

RLHFRLHF

Freelancer Overview

Medical AI training/evaluation preparation based on clinical observership and stated AI workflow expertise. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include N and A. Education includes Doctor of Medicine, Tashkent State Medical University (2026). AI-training focus includes data types such as Medical and DICOM and labeling workflows including RLHF.

Labeling Experience

Medical AI training/evaluation preparation based on clinical observership and stated AI workflow expertise

RLHFRLHF

No direct data labeling or annotation work is explicitly stated in the provided resume; instead, the candidate describes medical data structuring and AI training workflows. • Collected understanding of clinical workflows to inform AI training and evaluation. • Focus on structuring medical data for downstream AI tasks. • Experience aligns with RLHF-style clinical preference/reward evaluation goals. • Aims to transition into medical AI annotation, reviewing, and trainer roles.

2026 - Present

Education

T

Tashkent State Medical University

Doctor of Medicine, Medicine

Doctor of Medicine
2020 - 2026

Work History

H

Hamad Medical Corporation

Medical Doctor Clinical Observer

Doha
2026 - 2026
T

Tashkent State Medical University

Medical Intern

Tashkent
2025 - 2025