I’m Ahmed Ashraf, an AI Engineer with hands-on experience in machine learning, computer vision, and applied AI systems. I have completed the Microsoft AI & ML Engineering specialization, building a solid foundation in model development, evaluation, and deployment. My background includes AI, Data Science, and IoT internships, where I worked on real-world problems involving data pipelines, optimization, and intelligent system design. I’ve delivered end-to-end projects covering data preparation, feature extraction, deep learning models, and real-time inference. One of my key projects is an AI-Powered Real-Time Egyptian Sign Language Translator, where I developed the full pipeline—from dataset design and MediaPipe-based gesture extraction to LSTM-based sequence modeling and a desktop GUI for live predictions. The project focuses on performance, accessibility, and real-world usability. I’m currently on the roadmap toward Agentic AI, actively building and experimenting with AI agents, orchestration frameworks, and tool-using systems, with a strong emphasis on clean architecture and production readiness. I’m transparent about my capabilities, fast to learn, and highly committed to delivering reliable results. What makes me stand out: Strong engineering mindset and structured problem-solving Ability to translate research concepts into working applications Clear communication and realistic delivery timelines Continuous learning with practical implementation If you’re looking for a dependable AI engineer who values clarity, quality, and growth, I’d be glad to work with you.…I’m Ahmed Ashraf, an AI Engineer with hands-on experience in machine learning, computer vision, and applied AI systems. I have completed the Microsoft AI & ML Engineering specialization, building a solid foundation in model development, evaluation, and deployment. My background includes AI, Data Science, and IoT internships, where I worked on real-world problems involving data pipelines, optimization, and intelligent system design. I’ve delivered end-to-end projects covering data preparation, feature extraction, deep learning models, and real-time inference. One of my key projects is an AI-Powered Real-Time Egyptian Sign Language Translator, where I developed the full pipeline—from dataset design and MediaPipe-based gesture extraction to LSTM-based sequence modeling and a desktop GUI for live predictions. The project focuses on performance, accessibility, and real-world usability. I’m currently on the roadmap toward Agentic AI, actively building and experimenting with AI agents, orchestration frameworks, and tool-using systems, with a strong emphasis on clean architecture and production readiness. I’m transparent about my capabilities, fast to learn, and highly committed to delivering reliable results. What makes me stand out: Strong engineering mindset and structured problem-solving Ability to translate research concepts into working applications Clear communication and realistic delivery timelines Continuous learning with practical implementation If you’re looking for a dependable AI engineer who values clarity, quality, and growth, I’d be glad to work with you.WWWW…