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PostgreSQLRAGNoSQLReact/VueLangGraph/ChainPythonvector DBsTypeScriptfull-stack AI systemsGCPNode.jsAWS

Description

Jeff Borden is a highly experienced AI Product Engineer specializing in full-stack AI systems, LangGraph/Chain, and RAG. His technical expertise spans TypeScript, Node.js, Python, React/Vue, PostgreSQL, vector DBs, NoSQL, AWS, and GCP. He has a proven track record of moving LLM/agent workflows from prototype to production. His recent work includes developing a multilingual AI product for search automation, an AI-assisted incident intelligence platform, a multi-tenant account management platform, semantic video search using multimodal embeddings, and multi-agent systems integrating LLMs with internal data, docs, and APIs. Notably, Jeff previously founded and successfully exited a SaaS company serving Fortune 500 brands, where he built and led a distributed team of over 100 people. He is open to full-time, fractional, or advisory roles.