Riyad A.

Key Skills

Software

Don't disclose

Other

Top Subject Matter

Clinical laboratory diagnostics (biological samples and CBC/metabolic-style test results)

Artificial Intelligence fundamentals for responsible AI training

Scientific literature processing and AI-enabled summarization for health/research content

Top Data Types

Image

Text

Top Task Types

Diagnosis

Fine-tuning

Text Summarization

Freelancer Overview

Hospital-based Internship (University Requirement) - Summer 2025. Core strengths include Don't disclose and Other. Education includes Bachelor of Science, Mazaia University College (2023) and Elements of Artificial Intelligence Certification, University of Helsinki & MinnaLearn (2026). AI-training focus includes data types such as Medical, DICOM, and Image and labeling workflows including Diagnosis, Fine-tuning, and Text Summarization.

Labeling Experience

Elements of AI Certification - University of Helsinki & MinnaLearn

OtherImageFine-tuning

The AI fundamentals certification covered machine learning concepts and neural network principles that support effective AI training and supervised labeling workflows. The coursework emphasized the philosophies of AI and the societal impacts of deploying AI solutions, which informs responsible dataset creation and model evaluation. This education serves as preparation for AI training activities such as creating labeled datasets and iterating model performance. • AI philosophies and ML fundamentals • Neural networks overview • Societal impacts of AI solutions • Certification-focused learning for AI development

2026 - Present

Founder & Technical Developer | Smarticle Platform

OtherTextText Summarization

As founder and technical developer of the Smarticle platform, the work involved integrating AI tools to streamline scientific research summarization and content operations. The platform publishes bilingual scientific articles, requiring review and filtering of research content that can be used to generate training-ready text pairs or summaries. The role also includes search engine optimization and editorial-style quality control for scientific information. • Integrating AI tools for research summarization workflows • Publishing and managing bilingual (Arabic/English) scientific content • Filtering/reviewing scientific literature for quality • Supporting data-ready text outputs for AI training

2023 - Present

Hospital-based Internship (University Requirement) - Summer 2025

Don't discloseDiagnosis

The internship focused on evaluating quality of laboratory test results and supporting biosafety-compliant clinical workflows that underpin reliable data for downstream AI/labeling tasks. The work involved reviewing biological sample lifecycle and ensuring laboratory outputs are fit for interpretation and validation. This experience is relevant to preparing medical datasets with consistent quality standards for later annotation or model training. • Sample lifecycle observation • Quality evaluation of laboratory test results • Biosafety protocol implementation • Data validity checking for clinical records

2025 - 2025

Education

Work History