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Yufan Wei
Intern AI Engineer specializing in LLM agents, RAG, and applied biostatistics
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About
Siemens AI engineer who shipped production multi-agent LLM systems across cybersecurity and sustainability, including a vulnerability automation agent that cut manual work 70%. Deep in orchestration (LangGraph supervisor-worker state machines), reliability engineering (async fault tolerance, retries, spike handling), and rigorous evaluation (offline benchmarks, LLM-as-a-Judge improving label agreement 28.9%) with measurable production guardrails.
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Key Strengths
- Built and deployed multi-agent cybersecurity vulnerability automation to production; reduced manual intervention by 70%
- Designed reliable LLM systems for peak loads via modularized pipelines and fault-tolerant async execution with retries
- Advanced orchestration using LangGraph for cyclical, stateful, dynamically routed multi-agent workflows
- Evaluation-driven LLM development using curated offline benchmarks and regression testing
- Implemented LLM-as-a-Judge evaluation; improved human-label agreement by 28.9%
- Production guardrails focused on temporal stability; kept relative forecasting error bounded within 5%
- Strong cross-functional delivery with non-technical sustainability/business stakeholders; reduced request turnaround time by 35%
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