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Hi, I'm Ray Peng

Agent / LLM application engineer. 6 years of backend & AI engineering, now focused on enterprise agent systems.

What I work on

  • πŸ€– Agent systems β€” agent gateway, multi-agent orchestration, declarative workflow engines, skill systems, MCP tool ecosystems
  • πŸ“š Vertical RAG β€” policy & academic-literature retrieval: hybrid search, reranking, structured knowledge modeling (LLM Wiki)
  • πŸ§ͺ Agent evaluation β€” golden datasets, Recall@K / AUC / NDCG, LLM-as-judge, trace replay, regression gating
  • πŸ—οΈ AI-coding governance β€” hexagonal architecture with AST-enforced dependency rules, spec-first workflow, AGENTS.md conventions

Open source

DeerFlow (ByteDance's open-source multi-agent framework) β€” contributor:

  • Implemented the LangGraph Platform API in Gateway, replacing langgraph-cli single-process mode (#1403)
  • Unified persistence layer: event store, per-call token tracking, feedback, per-user isolation (#1930, #2134, #2153)
  • Runtime reliability: atomic run-creation persistence (#3152)

llm-space β€” sister project of DeerFlow: desktop tool for building, tracing, debugging and evaluating agents.

πŸ“« penghui8411@gmail.com

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