Faculty of Sciences Semlalia
Master's Degree, Information Systems Engineering
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Aspiring data-labeling specialist with a solid software-engineering backbone. I’ve spent the last three years building Java + Spring Boot back-ends and full-stack features in Angular/Vue/React, so I’m comfortable reading structured data, writing clean scripts, and following rigorous version-control workflows. While I’m new to professional annotation work, my day-to-day coding already demands the same habits great labeling requires: precise attention to detail, consistent naming, and methodical QA. I’m now channeling that discipline into AI-training data. I’ve been self-training on open-source tools like Label Studio and CVAT, creating small computer-vision and NLP toy datasets to understand class balance, ontology design, and reviewer feedback loops. My developer mindset lets me automate repetitive checks with Python and integrate labeling output straight into model pipelines. Pair my fast-learning attitude with strong communication (French, English, Arabic) and you get a beginner who can ramp up quickly, adapt to evolving guidelines, and keep data quality top-notch from day one.
Abdelkarim E. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Master's Degree, Information Systems Engineering
Bachelor's Degree, Computer Engineering
Full Stack Software Engineer
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