Ahmed Abdallah

• Built AI-powered backend workflows using LLMs for document processing, contextual data extraction, and automation • Integrated multi-step AI workflows with external AI services and backend systems • Designed scalable backend services and public APIs focused on performance, reliability, and maintainability • Delivered end-to-end features from design to deployment and contributed to architecture and platform evolution • Improved application quality through automated testing and codebase improvements

-Transformed business requirements into scalable technical solutions, driving project alignment and stakeholders satisfaction -Designed and developed robust back-end APIs, significantly enhancing application performance -Seamlessly integrated with third-party applications, expanding system capabilities -Implemented comprehensive code-coverage strategies with unit and integration testing -Collaborated effectively with data science, data engineering, and DevOps teams to ensure seamless integration

- Developed high-performance back-end APIs, improving system responsiveness and increasing user engagement - Built responsive and reusable front-end components using Angular 7 and Angular Material, enhancing user experience and decreasing page load times - Successfully integrated with third-party applications, expanding functionality - Implemented comprehensive code-coverage strategies with unit and integration testing, reducing production bugs and ensuring robust application stability

- Engineered high-performance back-end applications using Node.js, enhancing system efficiency - Designed and built scalable databases (SQL and NoSQL), optimizing data retrieval and storage, which reduced query response time - Implemented robust code-coverage strategies with integration testing and continuous inspection, decreasing production issues and ensuring high-quality code standards

- Engineered high-performance back-end applications using Node.js, enhancing system efficiency using REST and GraphQL - Designed and built scalable MongoDB (NoSQL), optimizing data retrieval and storage, which reduced query response time - Implemented robust code-coverage strategies with integration testing and continuous inspection, decreasing production issues and ensuring high-quality code standards