Esraa Mokhtar
nnI apply a QA mindset and a data-driven approach to develop robust, scalable AI solutions, optimize models, and deliver real-world impact.
About
I am Esraa Mokhtar, an innovative AI Engineer with a strong foundation in machine learning, statistics, numerical optimization, deep learning, NLP, computer vision, data preprocessing, feature engineering, and end-to-end Python workflows.\n\nI apply a QA mindset and a data-driven approach to develop robust, scalable AI solutions, optimize models, and deliver real-world impact.
- 4 years' experience
- Joined April 2026
Languages
- ArabicFluent
- EnglishFluent
- FrenchIntermediate
Industry experience
- Software & Internet
- Professional Services
- Education
Work experience· 4 roles
Designing, building, and deploying scalable machine learning and AI solutions using Python and Microsoft Azure technologies. Develop and evaluate machine learning models for classification and prediction tasks. Implement MLOps practices for model tracking, versioning, and deployment. Deliver an end-to-end ML pipeline and cloud-based ML workflows using Azure AI services.
Applied data analysis, statistical methods, and AI frameworks to solve real-world problems. Improved models with optimization methods and supervised/unsupervised learning, including recommendation systems. Used neural networks for NLP, image processing, and computer vision tasks, leveraging TensorFlow and NLTK. Cleaned and analyzed data, visualized results, and ran SQL queries using Python and SQL databases.
Quality Control Engineer ensuring the quality, reliability, performance, and user experience of web and mobile applications by planning, designing, executing, and reporting tests throughout the software development lifecycle. Performed manual testing across web and mobile apps; created test cases and scenarios; logged defects and tracked through Jira/TFS; verified bug fixes and conducted regression testing.
Education
Certifications and awards
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