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Pruthvik Elemati
Mid-Level Software Engineer specializing in distributed systems and cloud-native backends
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About
AI/LLM engineer with production experience at Charles Schwab building a RAG-based assistant to help 5,000+ reps answer complex financial policy questions. Implemented a multi-layer anti-hallucination approach (GNN-driven ontology/graph retrieval + citation-only answers) and compliance-focused guardrails (Azure AI Content Safety) in partnership with audit/compliance stakeholders.
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Key Strengths
- Built and deployed production RAG system for financial policy Q&A at Charles Schwab supporting 5,000+ representatives
- Reduced hallucinations via multi-layer retrieval (GNN-based ontology traversal) and strict citation-backed responses
- Implemented safety/compliance guardrails to prevent data leaks and unregulated financial advice using Azure AI Content Safety
- Designed measurable evaluation approach using LLM-based verification, question decomposition, and ablation studies
- Experience orchestrating ML/AI workflows with serverless (Azure Logic Apps) and container platforms (Docker, GKE)
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