Mohamed mosad is a Google Cloud Certified Machine Learning Engineer with eight years of experience building and deploying production-grade ML systems across GCP and AWS. He specializes in deep learning for computer vision and NLP, and has driven measurable business impact—cutting cloud inference costs by over 50% and increasing user engagement and purchases through tailored ML solutions. At VOIS and prior roles he delivered end-to-end MLOps pipelines, RAG-based text-to-SQL and QA LLMs, and real-time analytics for 4G/5G and surveillance use cases. He also architects multi-agent, retrieval-augmented systems using modern tooling like LangChain and LlamaIndex for enterprise automation. Known for clear cross-functional communication, Mohamed pairs research-grade models with pragmatic deployment practices to turn complex data into actionable insights. Based in Cairo, he blends an electrical engineering background with a hands-on focus on scalable, cost-efficient ML in production.
8 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Electrical, Electronics and Communications Engineering, Bachelor's degree, Electrical, Electronics and Communications Engineering at Benha University
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