I’m an AI-driven software engineer specializing in Retrieval-Augmented Generation (RAG), multi-agent AI systems, and knowledge graph engineering. I design and implement end-to-end AI pipelines that balance faithfulness and relevance, turning complex data into actionable insights. I love building secure, scalable AI applications and optimizing multi-database architectures (vector and graph) to deliver reliable AI outputs.
Most of my work centers on LangChain, LangGraph, CrewAI, Llama3, Milvus, and Neo4j, with deployments on AWS and a focus on MLOps. I’ve led automated RAG pipelines processing large document sets (e.g., CVEs, CWEs, CyBOK) and integrated hierarchical knowledge graphs to boost performance and trust in AI systems.
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