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Better Call Han!

Java Agent developer. Not toll free: +(86) 15124562286. Email: hbzz777@163.com.

About Me

Java backend. Agent runtime. RAG systems.

I am Han, a fresh graduate Java Agent developer. I build Spring AI based Agent Runtime, RAG memory, tool calling governance, trace evaluation, and backend services that connect real business scenes with reliable engineering.

More About Me
2
Internships
3
Core Projects
80%
RT Reduction
94%
Intent Accuracy

Featured Cases

Selected work from my resume. Each case shows an Agent or backend engineering problem I actually built around.

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Case 01

SpringClaw Agent Runtime

A Java/Spring AI Runtime and Harness for model routing, memory context, tool governance, approval proposals, trace, and quality scoring.

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Case 02

Enterprise Training Assistant

A RAG/Agent knowledge assistant using FastAPI, LangChain, RAGFlow, Qwen, MongoDB, SSE, and Feishu message entry.

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Case 03

Xubei Trading Platform

A Java microservice platform for virtual goods. I worked on product details, cart flows, Redis cache strategy, and parallel remote calls.

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ROBCO SKILL DATABASE

Skills & Stack

Classified engineering modules from Agent runtime, RAG, Java backend, and production tooling work.

> load languages

Languages

  • Javaprimary backend
  • PythonAI service glue
  • JavaScriptweb interaction
  • SQLdata modeling
> scan frameworks

Frameworks

  • Spring Bootservice core
  • Spring AIagent runtime
  • LangChain4jagent pipeline
  • FastAPIAI gateway
> mount agent tools

Agent & Data

  • RAGretrieval flow
  • Tool Callinggoverned actions
  • Trace Evalquality scoring
  • SSEstream delivery
> check infrastructure

Tools & Infra

  • MySQLtransaction data
  • Redis Vectormemory cache
  • RabbitMQasync jobs
  • Dockerruntime packaging

Experience

Internships and self-built systems.

My work sits between Java backend engineering and Agent product implementation: requirement research, runtime design, RAG retrieval, tool safety, async delivery, cache optimization, and observable execution.

  1. 01

    RenSheng AI internship

    Joined the RenKang store intelligence project. I helped turn in-store service needs into assistant flows, prompts, APIs, and feedback records.

  2. 02

    Xubei Java internship

    Built product-detail and cart modules, optimized Redis cache paths, and reduced core product-detail RT from about 450ms to 85ms.

  3. 03

    Agent engineering focus

    Built SpringClaw around planning, memory, tool calling, proposal approval, trace, quality scoring, workflow extension, and workspace guardrails.

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