Ahmed M.

Key Skills

Software

Other

Top Subject Matter

Generative Text

Llms Domain Expertise

Prompt Engineering

Top Data Types

Text

Computer Code Programming

Top Task Types

Fine-tuning

Freelancer Overview

Generative AI Professional (AI Training/Data Labeling). Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include HuggingFace and Other. Education includes Bachelor of Engineering, Egyptian Chinese University (2026). AI-training focus includes data types such as Text and labeling workflows including Fine-tuning.

Labeling Experience

AI Trainee (NLP Labeling & AI Training)

OtherTextFine-tuning

As an AI Trainee, I was assigned to NLP tasks that required manual inspection and labeling of textual data as part of feature engineering and model fine-tuning. My training included creating datasets for classification and sentiment analysis using Python-based tools. This process improved my understanding of practical NLP data workflows and annotation. • Labeled text samples for classification and sentiment tasks in NLP domain. • Performed text preprocessing and feature extraction on real-world datasets. • Used TensorFlow and LangChain for iterative model evaluation and dataset adjustments. • Contributed to building fine-tuned models through hands-on data annotation.

2025 - 2025

Generative AI Professional (AI Training/Data Labeling)

TextFine-tuning

During my role as a Generative AI Professional, I participated in hands-on AI training with generative models and transformers. My work involved supervised fine-tuning of language models and practicing prompt engineering techniques for large language models. I used HuggingFace and Gradio to prepare, label, and evaluate datasets for model improvement. • Engaged with advanced generative AI models (VAEs, GANs, Diffusion models). • Labeled text data for model fine-tuning and prompt engineering tasks. • Utilized HuggingFace and Gradio for data labeling and interactive testing. • Practiced application of RAG and agentic AI methods in an iterative training environment.

2025 - 2025

Education

Work History