Kareem Jamal

Kareem Jamal is the Lead Android AI Engineer at BRITE Institute, where he is developing a retrieval-augmented generation mobile application for offline medical retrieval and decision support in pre-hospital care. His work focuses on building an Android-based RAG system that helps EMTs, medics, and field medical personnel access relevant treatment information in environments where internet access may be limited or unavailable.

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At BRITE Institute, Kareem is leading the development of an offline AI clinical reference system designed for practical field use. The application combines medical document processing, semantic retrieval, lexical search, reranking, and on-device language model inference to deliver relevant information without relying on a constant internet connection. His work includes building and refining the retrieval pipeline, improving document parsing and chunking, evaluating answer quality, and testing how well retrieved evidence supports generated responses.

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Kareem’s current focus is on making the system reliable, explainable, and useful in real pre-hospital conditions. This includes balancing retrieval accuracy, offline performance, mobile resource limits, and clinical safety considerations. He works across the Android application layer, retrieval architecture, model integration, and evaluation workflow to ensure the system can support fast and relevant access to medical information in constrained environments.

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Before joining BRITE Institute, Kareem developed several AI and retrieval-focused projects, including a high-performance hybrid RAG engine in C++ and Python and a Graph-RAG system for codebase understanding using Neo4j and large language models. He also worked as a Data Analytics and AI Intern at Zain Group, where he built machine learning models and an SQL-based RAG assistant for structured data querying.