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Yossif Ahmed

Yossif Ahmed

Generative AI & Agentic AI Trainee

Egypt flagN/A, Egypt
$20.00/hrIntermediate

Key Skills

Software

No software listed

Top Subject Matter

Artificial Intelligence
Generative AI
Large Language Models

Top Data Types

ImageImage
TextText
Computer Code ProgrammingComputer Code Programming

Top Task Types

Fine-tuningFine-tuning
ClassificationClassification
Evaluation/RatingEvaluation/Rating
Text SummarizationText Summarization
Text GenerationText Generation
SegmentationSegmentation
Object DetectionObject Detection
Computer Programming/CodingComputer Programming/Coding

Freelancer Overview

Generative AI & Agentic AI Trainee. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and TensorFlow. Education includes Bachelor of Science, Menoufia University (2023). AI-training focus includes data types such as Image and labeling workflows including Fine-tuning and Classification.

IntermediateEnglishArabicGerman

Labeling Experience

AI & Data Science Trainee

ImageFine Tuning
In the AI & Data Science Trainee role, I was actively involved in training machine learning and AI models using real-world datasets. My work encompassed data preprocessing, feature engineering, and model optimization to enhance predictive performance. I applied Python tools and AI techniques to prepare labeled datasets and support data-driven initiatives. • Performed data analysis and preprocessing for supervised training tasks • Conducted feature engineering and selection for image-based projects • Participated in practical model development and evaluation cycles • Applied AI solutions to diverse computer vision challenges

In the AI & Data Science Trainee role, I was actively involved in training machine learning and AI models using real-world datasets. My work encompassed data preprocessing, feature engineering, and model optimization to enhance predictive performance. I applied Python tools and AI techniques to prepare labeled datasets and support data-driven initiatives. • Performed data analysis and preprocessing for supervised training tasks • Conducted feature engineering and selection for image-based projects • Participated in practical model development and evaluation cycles • Applied AI solutions to diverse computer vision challenges

2026 - Present

Generative AI & Agentic AI Trainee

ImageFine Tuning
As a Generative AI & Agentic AI Trainee, I participated in AI training activities focused on large language models and prompt engineering. My responsibilities included hands-on model training and development for generative AI solutions. I collaborated with a team to apply algorithms for real-world AI challenges and iteratively improved model outcomes. • Contributed to AI training pipelines in the context of generative models • Utilized prompt engineering to refine AI behavior on various datasets • Developed solutions integrating LLMs with image data • Engaged in continuous learning and AI skill development

As a Generative AI & Agentic AI Trainee, I participated in AI training activities focused on large language models and prompt engineering. My responsibilities included hands-on model training and development for generative AI solutions. I collaborated with a team to apply algorithms for real-world AI challenges and iteratively improved model outcomes. • Contributed to AI training pipelines in the context of generative models • Utilized prompt engineering to refine AI behavior on various datasets • Developed solutions integrating LLMs with image data • Engaged in continuous learning and AI skill development

2025 - Present

Histopathologic Cancer Detection - Deep Learning Project Member

ImageClassification
For the Histopathologic Cancer Detection project, I contributed to the training of a convolutional neural network using labeled medical images. This included preparing and augmenting image datasets to support high-accuracy tumor classification. I ensured the quality and integrity of labeled data for improved model diagnosis. • Managed dataset preparation and cleaning for medical image classification • Performed image labeling and augmentation • Supported network training with quality control on cancer image labels • Applied deep learning for computer-aided diagnosis research

For the Histopathologic Cancer Detection project, I contributed to the training of a convolutional neural network using labeled medical images. This included preparing and augmenting image datasets to support high-accuracy tumor classification. I ensured the quality and integrity of labeled data for improved model diagnosis. • Managed dataset preparation and cleaning for medical image classification • Performed image labeling and augmentation • Supported network training with quality control on cancer image labels • Applied deep learning for computer-aided diagnosis research

Not specified

Education

M

Menoufia University

Bachelor of Science, Artificial Intelligence

Bachelor of Science
2023

Work History

G

GCI World

AI & Data Science Trainee

N/A
2026 - Present
D

DEPI

Generative AI & Agentic AI Trainee

Remote
2025 - Present