AI engineering / platform engineering / senior full-stack engineer focused on landing AI 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

• Landing AI in real software systems (AI-assisted engineering workflows)
• Agent workflow design: planning / execution / independent evaluation / evidence-driven iteration
• Quality & security engineering: reproducible workflows, deterministic checks, and security hardening
• Developer tooling: CLI workflows, prompt / 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

An async RAG document pipeline in Rust / axum: upload, chunking, embedding, vector write and hybrid retrieval (BM25 + vector) in one service; a seven-layer architecture decouples storage (SQLite exact dedup + perceptual hash) through retrieval, LLM re-ranking to generation. Local-first and privacy-oriented, built on classic algorithms + heuristics rather than heavy ML dependencies.

An AI BI workbench: connect SQLite / CSV / PostgreSQL / MySQL, ask in natural language, LLM writes read-only SQL and renders ECharts dashboards. A deterministic Text2SQL pipeline (schema constraints + read-only execution + result validation) runs in parallel with a ReAct dual-path (tool calls + reflection/retry), balancing control and exploration; pre-execution permission / scope checks for self-service BI.

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.

Evolved from a single RBAC auth module into a small microservice system: Eureka discovery + Config + Gateway (PEP + hand-rolled zero-dependency JWT) + auth / rbac services, extended with CRM, audit and a BFF layer into a reusable enterprise backend skeleton.

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

Demo: https://chat.erishen.cn

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

• rag-task-service: A Seven-Layer Design for a Rust RAG Service — An async RAG document pipeline from SQLite to LLM re-ranking.
• datapulse: Deterministic Text2SQL Pipeline + ReAct Dual-Path — Architecture breakdown of the AI BI workbench.
• AutoGen PSE: Planner/Specialist/Evaluator Multi-Agent Collaboration — Architecture write-up of three-role collaboration with evidence-driven iteration.
• spring-rbac: From RBAC Auth to a Small Microservice System — Spring Cloud + zero-dependency JWT + CRM + audit + BFF.

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 — Senior 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 Group — 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: erishen@qq.com