SpokenHabit
Built a voice-powered habit tracker using React Native, Supabase, and Large Language Models, enabling hands-free habit management.
Ahmed A is a Full Stack Engineer with several years of experience in web and mobile development, specializing in building scalable applications and optimizing backend systems. Ahmed's core stack includes React, React Native, NestJS, Spring Boot, and Express.js, alongside database technologies like MongoDB and PostgreSQL. He builds dynamic web and mobile applications, secure reverse proxies, and intelligent scheduling systems, employing practices such as JWT authentication, rate limiting, and containerization with Docker. At Qupil, Ahmed significantly increased the daily new subscriber count by 2–3x through the development of new premium lesson types. He also led a project at The German University in Cairo that reduced scheduling time from two weeks to five hours using a Genetic Algorithm, impacting 600 students. Ahmed holds a BSc. in Computer Science & Engineering from The German University in Cairo. He is best suited for roles that require innovative full-stack development and the creation of user-centric applications.
Built a voice-powered habit tracker using React Native, Supabase, and Large Language Models, enabling hands-free habit management.
Engineered a secure Express.js reverse proxy server featuring weighted load balancing, JWT authentication, rate limiting, and dynamic health checks, fully containerized with Docker for easy deployment.
Developed an e-learning platform using MongoDB, Express.js, React, and Node.js, featuring course progress tracking and certificate generation.
Implemented an intelligent scheduling system with React, Express.js, and Together.ai, leveraging natural language processing for tutor availability.
Created a task management web app using Spring Boot, PostgreSQL with Spring JPA, and Docker, implementing CRUD operations.
Designed a strategy game in Java with Java Swing, implementing city management, army recruitment, and conquest mechanics.
Built a deep learning model with TensorFlow and Keras for image denoising, outperforming BM3D across multiple noise types.
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Full Stack Engineer
0-2 years experience
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