Ahmed Abd El-hafez

Key Skills

Software

Appen

Clickworker

CrowdSource

Data Annotation Tech

OneForma

Remotasks

Toloka

Telus

Scale AI

CVAT

Labelbox

Top Subject Matter

LLM Evaluation in English and Arabic

LLM Evaluation in Arabic

Annotation

Top Data Types

Image

Text

Video

Top Label Types

Classification

Evaluation Rating

Prompt Response Writing SFT

Question Answering

Segmentation

Freelancer Overview

I have extensive experience in data labeling and managing AI training data, which has honed my attention to detail, analytical thinking, and proficiency in various annotation tools and frameworks. I specialize in curating, annotating, and validating high-quality datasets for machine learning models, ensuring accuracy and consistency across diverse projects such as image recognition, natural language processing, and speech-to-text systems. My ability to follow complex guidelines, adapt to evolving project requirements, and collaborate with cross-functional teams has been pivotal in delivering datasets that meet stringent performance benchmarks. What sets me apart is my commitment to quality assurance and process optimization. I have designed workflows to streamline labeling processes, reducing errors and enhancing productivity. My experience working with large-scale datasets has equipped me with a deep understanding of data preprocessing techniques, class balancing, and ethical considerations in AI. This combination of technical expertise and a solution-oriented mindset ensures that I contribute meaningfully to the success of AI projects.

Labeling Experience

Fitness Pose Keypoint Annotation for AI Coaching Apps

CVATImage

Labeled 1,000+ workout pose images to train AI models for real-time fitness coaching apps.

Labeled 1,000+ workout pose images to train AI models for real-time fitness coaching apps.

2024 - 2024

LLM Evaluation In English and Arabic

Scale AIImageEvaluation Rating

LLM Responses Evaluation based on criteria like Factuality, Conciseness, Freshness and Syntax.

LLM Responses Evaluation based on criteria like Factuality, Conciseness, Freshness and Syntax.

2022 - 2024

Appen Audio Data Labelling

AppenAudio

Audio Data Sets for Egyptian language.

Audio Data Sets for Egyptian language.

2023 - 2023

Autonomous Vehicle LiDAR & Image Annotation

LabelboxVideo

Annotated 10,000+ LiDAR and camera images for self-driving car perception systems. Tasks: Labeled 3D bounding boxes around vehicles/pedestrians in multi-sensor data (LiDAR + RGB). Segmented drivable areas and traffic signs with pixel-level precision. Classified scenes by weather/lighting conditions to enhance model robustness. Project Size: 8 months | 5 annotators | 50,000+ labeled frames. Quality Measures: Achieved 99% precision in occlusion handling (e.g., partially visible vehicles). Passed ISO/TS 21434 compliance checks for automotive safety standards. Reduced annotation time by 20% via Labelbox’s pre-labeling automation.

Annotated 10,000+ LiDAR and camera images for self-driving car perception systems. Tasks: Labeled 3D bounding boxes around vehicles/pedestrians in multi-sensor data (LiDAR + RGB). Segmented drivable areas and traffic signs with pixel-level precision. Classified scenes by weather/lighting conditions to enhance model robustness. Project Size: 8 months | 5 annotators | 50,000+ labeled frames. Quality Measures: Achieved 99% precision in occlusion handling (e.g., partially visible vehicles). Passed ISO/TS 21434 compliance checks for automotive safety standards. Reduced annotation time by 20% via Labelbox’s pre-labeling automation.

2023 - 2023

Education

Work History