AI engineering / platform engineering / senior full-stack engineer focused on making AI useful in real engineering workflows.

I currently work on FinTech engineering at PayPal, building customer-facing systems with React, Next.js, and Node.js. Recent focus areas include AI-assisted engineering workflows, system security hardening, and large-scale framework upgrades.

I care less about one-off AI demos and more about systems that are runnable, reproducible, testable, and explainable.

🔍 Open to opportunities

• AI-assisted engineering workflows for real software systems
• Agent workflow design with planning, execution, independent evaluation, and evidence collection
• AI-assisted engineering workflows with agent orchestration, evaluation loops, and evidence-driven iteration
• Developer tools, CLI workflows, prompt systems, memory systems, and MCP-based code context
• Full-stack systems with React, Next.js, Node.js, TypeScript, Python, FastAPI, Redis, and APIs

📍 Shanghai, China

🌐 Blog: https://erishen.cn

Multi-agent workflow system built on AutoGen: Planner decomposes tasks, Specialists execute, Evaluator reviews — with evidence-driven iteration and independent quality gates. Demonstrates practical agent orchestration for real engineering workflows.

The same Planner / Specialist / Evaluator multi-agent pattern reimplemented with LlamaIndex. A side-by-side comparison of two agent frameworks solving the same problem — practical insight into framework trade-offs.

A minimal RAG learning project written from scratch (no LangChain, no LlamaIndex). Features: AhoCorasick lexicon gate for sensitive word blocking / direct QA / synonym expansion, hybrid search (pgvector + BM25), Ollama embedding, and OpenAI-compatible LLM generation. Runnable, testable, and documented.

A practical LLM toolkit with LangChain + LiteLLM, supporting chat, RAG document Q&A, hybrid retrieval, streaming APIs, evaluation, and cost-aware usage patterns.

Demo: https://langchain-llm-toolkit.onrender.com/docs

A modern AI chat application with streaming responses, RAG document retrieval, Markdown rendering, theme switching, and practical conversation workflows.

Demo: https://chat.erishen.cn

An OpenAI Function Calling-compatible tool registry and CLI for exposing local tools through standardized schemas and agent-friendly interfaces.

Personal experiments around agent design, workflow orchestration, tool usage, and practical AI execution patterns.

I write about AI engineering, agent frameworks, and full-stack practice on my blog: erishen.cn.

• Autogen PSE: A Triangle-Agent Framework — Planner / Specialist / Evaluator orchestration with evidence-driven iteration.
• LlamaIndex PSE: RAG Workflow — Reimplementing the same multi-agent pattern with LlamaIndex.
• CrewAI PSE: Programmatic Verification — Quality gates and deterministic checks in agent pipelines.
• LangGraph PSE: Design Decisions — Graph-based agent orchestration trade-offs.
• Spring RBAC: Zero-Dependency Microservice Auth — JWT auth with Spring Cloud.
• Firefly: An R3F 3D Digital Human — Real-time 3D avatar with React Three Fiber.

AI Engineering
Agent workflows, tool calling, MCP, RAG, evaluation loops, prompt systems, memory systems, SSE execution logs.

Platform Engineering
Docker, Makefile, multi-stack environments, reproducible workflows, local tooling, developer productivity.

Full-Stack Systems
React, Next.js, TypeScript, Node.js, Python, FastAPI, Redis, GraphQL, REST APIs, Playwright.

FinTech
Customer-facing systems, identity verification, compliance workflows, secure full-stack development.

• PayPal — Full-Stack Engineer (2024 – Present)
  Customer-facing FinTech systems, identity verification, AI-assisted engineering workflows, full-stack development with React/Next.js/Node.js
• Trip.com (Ctrip) — Senior Frontend Engineer (2017 – 2024)
  International content platforms, Node.js SSR, SEO, multilingual content, frontend engineering evolution
• Earlier — Software Engineer → Technical Manager (2005 – 2017)
  Enterprise systems, mobile apps, embedded web, cross-team delivery

• Website: https://erishen.cn
• GitHub: https://github.com/erishen
• Email: [email protected]