Abdallah Y.

Key Skills

Software

Other

Top Subject Matter

Large Language Models (LLMs)

Prompt Engineering

Retrieval-Augmented Generation

Top Data Types

Text

Document

Computer Code Programming

Top Task Types

Fine-tuning

Text Generation

Computer Programming/Coding

Text Summarization

Entity (NER) Classification

Classification

Function Calling

RLHF

Freelancer Overview

AI and Generative LLMs Program participant with 1+ years of experience supporting AI training, data annotation, and research-focused workflows. Skilled in text-based labeling, Arabic language annotation, NLP datasets, and LLM evaluation platforms, with experience maintaining high accuracy and quality standards across AI training data tasks. Familiar with fine-tuning support workflows, response evaluation, and structured guideline-based annotation for generative AI systems. Currently pursuing a Bachelor of Computer Science at Ain Shams University (Expected 2026). Proficient in Python and SQL for data handling and analysis, with strong analytical, detail-oriented, and problem-solving skills. Passionate about generative AI, natural language processing, and building high-quality datasets that improve AI model performance.

Labeling Experience

AI and Generative LLMs Program Participant

OtherTextFine-tuning

Participated in an advanced AI and Generative LLMs program focused on foundational and practical techniques for training large language models. Gained first-hand experience in optimizing, evaluating, and refining large language models through prompt engineering and tool-based RAG systems. Contributed to LLM training and evaluation processes, including hands-on work with function calling, vector databases, and language model evaluation metrics. • Involved in prompt engineering for large language models. • Utilized LLM optimization and evaluation methods including RAGAS, MMLU, and ROUGE. • Worked with practical tools such as LangChain and LangGraph frameworks. • Practiced LLM fine-tuning and system design with vector database integrations.

2026 - 2026

Education

Work History