Omar Mansour
Kafr Sa`d
Summary
Detail-oriented AI Data Annotation Lead merging medical expertise with advanced AI training. Proven success in leading diverse teams and executing complex data projects, ensuring accuracy and quality in multi-faceted AI applications, from speech-to-text models to visual dataset generation.
Overview
1
1
year of professional experience
Work History
Intern Doctor
Al-Azhar University Hospital
03.2025 - Current
- Intern Doctor and specialized AI Data Annotation Lead with extensive experience in training Large Language Models (LLMs) and computer vision systems.
- Highly detail-oriented and analytical, leveraging a rigorous medical background to ensure uncompromising accuracy and quality control.
- Executed complex data labeling, prompt evaluation, and multi-turn dataset generation projects, ensuring high-quality output.
- Progressed from data labeler to reviewer and team lead, managing diverse tasks in AI training projects with strict adherence to complex guidelines.
AI Training Team Lead & Reviewer
- Current
- Directed data annotation teams across multiple high-stakes AI training projects, ensuring strict adherence to complex guidelines and safety boundaries.
- Progressed rapidly from Data Labeler to Reviewer and Team Lead by consistently delivering high-quality data evaluations and maintaining exceptional accuracy.
- Transcribed complex, highly technical audio records, accurately logging aviation callsigns, runway data, and NATO phonetics for advanced record-generation projects.
- Maintained flawless accuracy rates in challenging audio environments to support specialized speech-to-text models.
- Executed detailed image description and quality control for multi-turn datasets, analyzing complex visuals like sports collages and specialized product images to ensure high-quality data for model training.
- Evaluated computer vision model outputs to refine object recognition, spatial awareness, and contextual understanding.
- Conducted rigorous evaluations of model responses, testing safety boundaries and persona adoption for specialized AI systems, including insurance claim assistants, to enhance system reliability.
- Reviewed and corrected AI text rephrasings and responses to ensure compliance with multi-step instructions and logical formatting, contributing to improved output accuracy and reliability.
Education
Bachelor of Medicine And Surgery (MBBCh) - Faculty of Medicine
Al-Azhar University
New Damietta, Egypt12-2024
Skills
- Prompt Evaluation
- Instruction Following
- Model Safety Testing
- LLM Persona Adoption
- ATC Audio
- VAD VERA
- NATO Phonetics
- Speech-to-Text Labeling
- Visual Question Answering (VQA)
- Complex Image Description
- Visual Dataset Generation
- Team Leadership
- Peer Review
- Quality Assurance
- Guideline Implementation
- Highly Analytical
- Detail-Oriented
- Multitasking
- Cross-domain Expertise (Medical & Technology)
Languages
- Arabic, native
- English, fluent
Intern Doctor
Intern Doctor and specialized AI Data Annotation Lead with extensive experience in training Large Language Models (LLMs) and computer vision systems. Proven track record in executing complex data labeling, prompt evaluation, and multi-turn dataset generation projects. Highly detail-oriented and analytical, leveraging a rigorous medical background to ensure uncompromising accuracy and quality control. Experienced in progressing from data labeler to Reviewer and Team Lead, successfully managing diverse tasks across multifaceted AI training projects while maintaining strict adherence to complex guidelines.
LANGUAGE
English
Proficient (C2)
C2
Arabic
Native
Native
Timeline
Intern Doctor
Al-Azhar University Hospital
03.2025 - Current
AI Training Team Lead & Reviewer
- Current
Bachelor of Medicine And Surgery (MBBCh) - Faculty of Medicine
Al-Azhar University