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TextI bring a unique blend of scientific rigor, analytical depth, and hands-on AI training experience, with over a decade of cross-functional work across data analysis, quality systems, and technical validation. My background spans global life-science and advanced-manufacturing environments, where I have consistently delivered clean, reliable, and decision-ready datasets for high-stakes operations. In parallel, I have built a fast-growing track record in AI training data, contributing to the development and refinement of cutting-edge models through structured labeling, complex reasoning tasks, and data quality evaluations. I have actively participated in training multiple AI models on the Outlier platform, including the Phoenix project, and have contributed to shaping several agents and generative models through internal Copilot initiatives. This experience has strengthened my expertise in pattern recognition, ambiguity resolution, and instruction-following—skills that are essential for producing high-quality training datasets. With my strong foundation in analytical sciences, my attention to detail, and my hands-on involvement in both external and internal model-training pipelines, I bring a disciplined, reliable, and value-driven approach to AI data work.
Collecting all data regarding production, testing, validation and verification and trained the model to provide an accurate answers.
This project trains AI models for real-world expert challenges using two key components: Prompts and rubrics. The goal of the project is to ask questions that are actually important or relevant to you and your work as an expert - questions where you are uniquely capable of deciding what a great response would look like.
classify the type of building and itdicationg their natures.
Master of Science (M.Sc.) in Chemistry for Renewable Energy , Chemistry
Preliminary Master Courses in Chemistry Alexandria, Egypt Graduation Date: Jul 2014 ● Publication: Experimental and Computational Investigations of Novel Quinoline Derivative as Corrosion Inhibitor for Mild Steel in Salty Water. ● Publication: Reduction of Hexavalent Chromium by Ferrous Ions to Trivalent Chromium in Presence of Organic Acid Additives. ● Publication: Electropolishing of Metallic Surfaces and the Factors Influencing on the Limiting Current. ● Poster: Electrochemical study of the inhibitive effect a new prepared quinoline derivative on the corrosion of steel in 3.5% NaCl solution. ● Project: Bio-active coatings and surface modifications of different metals for biomedical applications. , Chemistry
Data Analyst
Validation & Verification Engineer
