Open to opportunities

Ahmed tarek2003

@ahmedtarek2003

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Java Backend Developer focused on scalable REST APIs, clean architecture, and performance-driven applications.

Egypt

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What I'm looking for

I’m looking for a role where I can build scalable Spring Boot REST APIs, apply SOLID and clean architecture, and grow in a collaborative team focused on performance and maintainable code.

I’m a Java Backend Developer dedicated to building scalable REST API backends with clean architecture and SOLID principles. I focus on robust, maintainable systems and backend optimization, using Spring Boot and proven database design practices.

Through an ML internship at the National Telecommunication Institute, I completed 120 hours in ML, data preprocessing, and predictive modeling, and built recommendation algorithms with Python and TensorFlow. I’ve also developed a Student Management System REST API with Spring Boot and PostgreSQL, and reached finalist stages in multiple tech competitions—always aiming to deliver practical, high-performance solutions by collaborating effectively and meeting deadlines.

Experience

Work history, roles, and key accomplishments

DevFest Hackathon Finalist

Google Developer Groups Mansoura

Dec 2024 - Present (1 year 3 months)

Built a Flutter app prototype with a clear business model, Laravel integration, and an ML model. Reached the advanced stage and were selected as one of the top 30% participants.

Flutter Dart Machine Learning Business Modeling Rapid Prototyping Communication

IEEE Victories Finalist

IEEE Egypt Section

Sep 2024 - Present (1 year 6 months)

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

Software Design Problem Solving Requirements Gathering Agile Methodology Communication

Machine Learning Intern

National Telecommunication Institute (NTI)

Aug 2024 - Present (1 year 7 months)

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

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