Rahma Muhammad

Machine Learning EngineerFull Time

• Job Details:- Designed and implemented scalable Retrieval-Augmented Generation (RAG) chains using LangChain and enhanced LLM-generated responses across diverse applications. - Integrated advanced retrieval state-of-the-art methods such as Hybrid Retrieval and RAPTOR to improve robustness and accuracy in data retrieval. - Developed and managed vector stores using MongoDB Atlas, enabling efficient batch data insertion, precise query handling, and keyword search by leveraging document database capabilities. - Enhanced chatbot functionality with session memory, utilizing MongoDB for vectorized chat summary storage and retrieval to improve contextual continuity and user experience. - Built Knowledge Graph frameworks to model and query complex relationships within datasets, combining graph-based insights with RAG pipelines for context-rich and relationship-aware responses.