Salma Kassem

Salma Kassem

Intern

About

Currently pursuing a Bachelor of Science in Computer Science at the Arab Academy for Science, Technology and Maritime Transport, with a focus on Artificial Intelligence. Recently completed internships at EJADA Systems Ltd and the Ministry of Communication and Information Technology, gaining hands-on experience in backend development, data analysis, and full-stack tasks. At EJADA Systems Ltd, contributed to Java-based backend modules for the Temenos T24 core banking system, focusing on business logic for banking operations. At MCIT, created interactive dashboards using Power BI and IBM SPSS, while supporting data analysis and visualization efforts. Proficient in REST APIs, supervised learning, and real-time simulation, with a strong interest in machine learning and its real-world applications.

Country

Egypt

City

Alexandria

Industry

Computer Software

Skill

REST APIs, Supervised Learning, Real-time Simulation, Kubernetes, Skills Analysis, Object Detection, English, Docker Products, API Gateways, Hyperparameter Tuning, Data Structures, Computer Science, Mathematics, Software Development, Artificial Intelligence (AI), data analysis with power BI, Business Analysis, Web Development, Java, Banking

Experience

EJADA Systems Ltd

Intern

EJADA Systems Ltd

2025-8 - 2025-9 · 2 mos

• Developed Java-based backend modules for Temenos T24 core banking system in an enterprise environment. • Implemented business logic for banking operations including transaction and service workflows. • Collaborated in Agile team to analyze requirements and deliver production-ready features. • Gained exposure to large-scale financial systems and enterprise software architecture.

MCIT ’ Ministry of Communication and Information Technology’

Intern

MCIT ’ Ministry of Communication and Information Technology’

2025-7 - 2025-8 · 2 mos

• Built interactive dashboards and analytical reports using Power BI and IBM SPSS. • Supported full-stack development tasks across frontend and backend components. • Performed data preprocessing, analysis, and visualization for decision-support systems. • Collaborated with cross-functional teams to deliver project milestones under deadlines.

Education

Arab Academy for Science, Technology and Maritime Transport

Arab Academy for Science, Technology and Maritime Transport

LinkedIn

Computer Science

2022 - 2026 · 4 yrs

GPA: 3.83/4.0 Relevant Coursework: Artificial Intelligence, Deep Learning, Computer Vision, NLP, Explainable AI, High Performance Computing, Digital Image Processing, Mathematics for AI, System Security.

Salma Kassem's Contact Information

Email

******@***.com

Phone

(**) *** ****

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