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Abdelrahman Zeidan
Mid-Level Software Engineer specializing in Generative AI and LLM applications
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About
Built and deployed a production RAG-based AI assistant for sales reps to unify access to product info, pricing, and internal documents across multiple systems. Implemented ETL pipelines for normalization/chunking/embeddings, integrated the assistant into internal React/TypeScript UIs with user-specific context, and enforced security with private vector storage and permission-filtered retrieval.
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Key Strengths
- Built and deployed a production internal AI assistant for sales enablement
- Designed end-to-end RAG pipeline including ETL, chunking, embeddings, and vector search
- Integrated LLM assistant into internal UI apps with user/page context passed through to the backend
- Implemented security via private vector DB and permission-filtered retrieval
- Reliability approach using unit/integration tests, eval datasets, and monitoring (e.g., latency)
- Iterative optimization by inspecting failure cases and improving retrieval/prompting (e.g., chunking/embedding changes)
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