Arabic Sign Language Translator
Targeted the problem of helping hearing impaired people communicate with the external world by translating the Arabic sign language. Achieved a testing accuracy of 83.5% using Mediapipe and keras.
Ahmed Y. is a Backend Engineer with several years of experience in building scalable and maintainable systems across various domains. He primarily works with Ruby on Rails, Python, and Java, developing microservices-based backends and data pipelines. Ahmed designs RESTful APIs and implements asynchronous job processing using Sidekiq and RabbitMQ, while leveraging Docker for containerized deployments. His expertise extends to using PostgreSQL for data modeling and Redis for caching. At Lucidya, Ahmed contributed to an…
Targeted the problem of helping hearing impaired people communicate with the external world by translating the Arabic sign language. Achieved a testing accuracy of 83.5% using Mediapipe and keras.
Lucidya is an AI-powered Customer Experience Management (CXM) platform designed to help brands in the MENA region understand and improve how they engage with their customers across digital channels. The system aggregates and analyzes data from multiple sources to provide insights, sentiment analysis, and engagement tools tailored for Arabic-speaking audiences
Pharmacy retail applications streamline pharmacy operations by managing sales, inventory, prescriptions, and customer data in one system. They help improve accuracy, reduce stock issues, and provide real-time insights to enhance efficiency and customer service.

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Ahmed Y. is a Backend Engineer with several years of experience in building scalable and maintainable systems across various domains. He primarily works with Ruby on Rails, Python, and Java, developing microservices-based backends and data pipelines. Ahmed designs RESTful APIs and implements asynchronous job processing using Sidekiq and RabbitMQ, while leveraging Docker for containerized deployments. His expertise extends to using PostgreSQL for data modeling and Redis for caching. At Lucidya, Ahmed contributed to an…
Targeted the problem of helping hearing impaired people communicate with the external world by translating the Arabic sign language. Achieved a testing accuracy of 83.5% using Mediapipe and keras.
Lucidya is an AI-powered Customer Experience Management (CXM) platform designed to help brands in the MENA region understand and improve how they engage with their customers across digital channels. The system aggregates and analyzes data from multiple sources to provide insights, sentiment analysis, and engagement tools tailored for Arabic-speaking audiences
Pharmacy retail applications streamline pharmacy operations by managing sales, inventory, prescriptions, and customer data in one system. They help improve accuracy, reduce stock issues, and provide real-time insights to enhance efficiency and customer service.
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