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@eqabal-droubi
I am a detail-oriented data annotation specialist for AI evaluation.
I am a detail-oriented data annotation specialist with strong English, Russian and Standard Arabic proficiency, technical aptitude, and hands-on experience in AI response evaluation, fact-checking, and instruction-following. I have completed image labeling and text classification projects using tools like LabelImg and LabelStudio and apply rigorous QA standards to ensure consistent, high-quality annotations.
I build practical skills through self-directed data analysis, web development, and system administration work—using SQL, Python (pandas, numpy), Tableau, HTML/CSS/JavaScript, and two years of Fedora Linux. I seek remote-friendly roles where I can support AI systems with precise human feedback, grow into data analysis and evaluation roles, and contribute to product-focused teams with accuracy and reliability.
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Work history, roles, and key accomplishments
Colorfull
Designed and launched an e-commerce store concept for vacation and hobby products, conducting product research and testing marketing approaches to validate demand and improve conversions.
Independent Contractor
Performed data annotation, AI response evaluation, and fact-checking across multilingual datasets (English, Russian, Arabic), improving label consistency and quality for ML training.
Self-Directed Projects
Built analytical projects using SQL, Microsoft SQL Server, Excel, Tableau, and Python (pandas, numpy) to clean, transform, and visualize datasets and simulate business insights.
Self-Employed
Designed and deployed multiple websites and e-commerce stores with responsive, accessible frontends, implementing React/Next.js and API integrations to improve usability and conversion.
Degrees, certifications, and relevant coursework
Mechanical Engineering
2018 - 2021
Pursued Mechanical Engineering coursework at Novgorod State University from 2018 to 2021. Program was not completed.
Software and tools used professionally
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