Yossif A.

Key Skills

Software

Appen

Top Subject Matter

Artificial Intelligence

Generative AI

Large Language Models

Top Data Types

Image

Text

Computer Code Programming

Top Task Types

Fine-tuning

Classification

Evaluation/Rating

Text Summarization

Text Generation

Segmentation

Object Detection

Computer 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.

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

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

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

Not specified

Education

Work History