Eslam Ahmed

Currently developing and maintaining backend APIs for seamless integration with Oracle EBS, implementing efficient SQL and PL/SQL solutions to optimize data handling and processing for improved application performance.

I specialized in analyzing hyperspectral images to enhance our understanding of coffee characteristics and chemosensory properties that could improve quality and flavor profiling. By collaborating with a multidisciplinary team, I contributed to the development of models to extract valuable insights that not only advanced scientific research but also had practical applications in product development and quality assurance.

As a founding team member at Ciqler, I am developing an AI-powered, prompt-based gift recommendation engine that analyzes user input and context to suggest the perfect gift. I design and implement a cutting-edge contextual product recommendation system, collaborating with cross-functional teams to refine algorithms and ensure personalized suggestions. My efforts in continuous monitoring and optimization significantly enhance the system’s performance and accuracy, contributing to an improved user experience.

Implemented image processing and computer vision techniques on real-life projects and collaborating with RAs in the early detection of ROP disease, resulting in a 30% faster diagnosis process for doctors.

• Helped professors and TAs in designing and conducting tutorials and final revisions
• Conducted multiple revision sessions for more than 50 students on various CS topics