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Monthir Ali
Senior AI/ML Engineer specializing in LLMs, RAG, and VR/XR multimodal systems
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About
PhD researcher (University of Utah) who built a production RAG-powered Virtual Reality Research Assistant to answer lab research questions with concrete citations. Implemented an end-to-end LangChain pipeline using PyPDFLoader, chunking strategies, OpenAI embeddings, and ChromaDB, with emphasis on grounding to reduce hallucinations and ensure research-grade accuracy. Collaborated closely with a non-technical PhD advisor to scope requirements, manage cost constraints, and demo iterative progress.
Experience
Education
Key Strengths
- Built and deployed a production RAG-based VR research assistant with citations
- End-to-end RAG pipeline implementation (PDF ingestion → chunking → embeddings → vector DB → retrieval chain)
- Strong focus on response grounding and hallucination avoidance via custom prompting
- Iterative workflow design and testing (start simple, validate, then add features like fine-tuning)
- Data handling rigor (PDF parsing quality to ensure meaningful retrieval and answers)
- Effective communication with non-technical stakeholders (requirements translation, expectation management, demos)
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