Osama Elsaeed

Designed and developed scalable full-stack applications using Spring Boot and Next.js, delivering secure REST APIs and responsive web interfaces. Implemented JWT authentication, role-based authorization, input validation, and global exception handling using Spring Security. Developed reusable React components and managed application state with Redux, improving maintainability and user experience.

Full Stack Engineer at Huawei (2025-12 – Present)

• Designed and developed scalable full-stack applications using Spring Boot and Next.js, delivering secure REST APIs and responsive web interfaces.
• Implemented JWT authentication, role-based authorization, input validation, and global exception handling using Spring Security.
• Developed reusable React components and managed application state with Redux, improving maintainability and user experience.
• Integrated frontend and backend services, optimized database queries, and followed Clean Architecture, SOLID principles, Git workflows, and Agile methodologies.

Full Stack Developer Intern at Information Technology Institute (ITI) (2025-07 – 2025-12)

• Built end-to-end web applications using MongoDB, Express.js, Angular, React, and Node.js following modern full-stack development practices.
• Developed RESTful APIs, integrated databases, implemented authentication, and managed application state for scalable web applications.
• Applied software engineering best practices including Git, modular architecture, API integration, debugging, and performance optimization.

Front-End Engineer at True Ventures (2023-02 – 2023-07)

• Developed responsive and reusable user interfaces using Vue.js and Vuetify with Vuex for centralized state management.
• Integrated REST APIs and collaborated with backend engineers and UI/UX designers to deliver high-quality production features.
• Improved application performance, maintainability, and user experience through component-based architecture and code optimization.

Data Science Intern at Orange Egypt (2022-02 – 2022-06)

• Processed and analyzed large datasets using Python, SQL, and Pandas to generate business insights.
• Built ETL pipelines, developed machine learning models, and created interactive dashboards using Tableau for data visualization and reporting.
• Performed data cleaning, feature engineering, and exploratory data analysis to improve model quality and decision-making.

B.Sc. in Computer Science and Engineering – The German University in Cairo (2019-10 – 2024-07)

Graduation Project in Deep Learning for Natural Language Processing (NLP) – The German University in Cairo (2023-03 – 2023-09)