Mohamed Gamal is an AI Engineer with a decade of software experience, specializing in production-grade agent architectures, distributed document processing, and multi-LLM orchestration for enterprise knowledge platforms. He currently designs LangGraph-based, graph-enforced agent systems and Neo4j knowledge graphs that power conversational queries over 100K+ documents, and has deployed these as multi-service, cloud-native stacks across AWS, GCP, and Azure. Previously he led full-stack SaaS builds including a newsletter automation platform serving millions of subscribers and engineered AI-driven product listing pipelines and multi-platform e-commerce systems. Comfortable across Python, Django, LangChain, Neo4j, React, TypeScript, Docker, and Kubernetes, he combines strong systems design with pragmatic delivery—backed by competitive programming pedigree (ACM ICPC regional top-5 and extensive problem solving). An anime fan who believes "writing code makes life easier," he looks for roles where AI engineering and full-stack impact meet scale and reliability.
9 years of coding experience
6 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at F.C.I.S Mansoura University
Contributions:57 commits, 33 PRs, 100 pushes in 8 months
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