Open to opportunities

EA sportts

@easportts

Java Backend Developer building scalable REST APIs with clean architecture, SOLID principles, and strong performance focus.

Egypt

Message

What I'm looking for

I’m looking for a backend role where I can build scalable REST APIs with clean architecture, SOLID, and solid database design. I want to grow in an Agile team, own maintainable features, and deliver performance-driven results.

I’m a Java Backend Developer focused on scalable API development, clean architecture, and SOLID principles. I build robust, maintainable, performance-driven backend systems using Spring Boot, REST APIs, and MVC architecture, supported by strong relational database design with PostgreSQL and MySQL.

Beyond backend, I bring practical ML experience from a 120-hour intensive program, where I developed recommendation algorithms using Python and TensorFlow and collaborated in a 5-member team to deliver a project under deadline. I also enjoy building end-to-end solutions—at a hackathon I worked on a Flutter app prototype with Laravel integration and an ML model—plus I’ve contributed in software competitions by designing interview analysis software.

Experience

Work history, roles, and key accomplishments

DevFest Hackathon Finalist

Google Developer Groups

Dec 2024 - Present (1 year 5 months)

Built a Flutter app prototype with a defined business model, Laravel integration, and an ML model. Advanced to the advanced stage and was selected among the top 30% of participants.

Flutter Business Modeling Hackathon Delivery

IEEE Victories Finalist

IEEE Egypt Section

Sep 2024 - Present (1 year 8 months)

Achieved Finalist status in a software competition (Top 5% of participants). Designed interview analysis software and presented technical solutions to improve interviewing skills.

Interview Analysis Software Software Design Problem Solving Presentation Skills Technical Communication Teamwork

Machine Learning Intern

National Telecommunication Institute (NTI)

Aug 2024 - Present (1 year 9 months)

Completed 120-hour intensive ML training in data preprocessing and predictive modeling. Built recommendation algorithms with Python and TensorFlow and delivered a final project with a 5-member team under a deadline.

Machine Learning data preprocessing predictive modeling Recommendation Systems Python TensorFlow Team Collaboration