I'm an experienced Mobile Application Senior Developer with a passion for crafting robust and user-friendly mobile applications. During around 3 years of proficiency, I've developed and delivered well-designed software for various projects, ranging from loyalty programs to pioneering government initiatives.
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🌱 I’m currently learning I'm currently expanding my skills in Flutter and striving to advance my expertise in Node.js, Angular, and React Native. Always eager to explore new technologies and frameworks to stay updated with the latest developments in the tech world! Additionally, I'm learning how to communicate effectively with ChatGPT.
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👨💻 All of my projects are available at https://github.com/AhmedSamirScience?tab=repositories
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📝 I regularly write articles on Medium, providing actionable insights on software engineering methodologies.
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💬 Ask me about Feel free to reach out if you have any questions about Android development, Node.js, MongoDB, MySQL, PostgreSQL, software engineering methodologies, or even if you just want to chat about the latest tech trends!
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📫 How to reach me - LinkedIn: Ahmed Samir - Medium: Ahmed Samir - Email: ahmed.samirelbakrey@gmail.com
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📄 Know about my experiences https://drive.google.com/file/d/1WeBx_hqvOx0sV_qZitBOWc7NHzSNKCdo/view?usp=sharing
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⚡ Fun fact Did you know that I'm a huge fan of sci-fi movies and can recite lines from Star Wars verbatim? May the code be with you!
- Led end-to-end implementation of Egyptian government projects, serving over 1M users.
- Identified and resolved bottlenecks in solution architecture, resulting in a 30% improvement in project delivery time.
- Presented compelling sessions, fostering innovative solutions for the industry.
- Achieved 10K downloads for Consumer app, onboarded 100+ stores for Merchant app.
- Streamlined collaboration between backend teams and mobile app development, accelerating data retrieval by 50%.
- Conducted DNA sequencing using Linux tools such as Bowtie, facilitating accurate genetic analysis.
- BSc. Computer Science, October University for Modern Sciences and Arts (MSA University)
- Thesis title: Prediction of adaptor proteins using PSSM profiles and Recurrent Neural Networks.
- Thesis Grade: B+ (Very Good)
- BSc. Computer Science, University of Greenwich
- Graduated with second class. “Validation Degree”
