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🛠️
Building practical AI products · Open to opportunities
🛠️
Building practical AI products · Open to opportunities
11 followers · 7 following

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: Starstruckx2Achievement: Quickdraw

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: Starstruckx2Achievement: Quickdraw

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however-yir/README.md

Hi, I'm however-yir

AI Engineer & Java Backend Developer focused on building deployable, verifiable, and operable AI engineering systems.

Currently focused on:

  • Spring AI, RAG, tool calling, MCP, and multi-agent systems
  • Java / Spring Boot enterprise backend engineering
  • Enterprise knowledge bases, intelligent Q&A, recommendation systems, and AI workflow platforms
  • AI application engineering across auth, security, evaluation, observability, CI/CD, and deployment

Featured Projects

AI Engineering Matrix

Five repositories form the core AI engineering matrix; the campus recruitment system adds an applied recommendation case:

KnowledgeOps Agent  -> platform baseline: RAG, workflow state, memory, evidence, observability
Tianji AI Agent     -> business agent case: routing, tool calling, SSE, structured UI payloads
NebulaKB            -> knowledge operations: ingestion lifecycle, governance, quality feedback
ForgePilot Studio   -> engineering execution: task protocol, runtime, audit replay, MCP tools
Microservices Lab   -> cloud-native layer: multi-language services, K8s, gRPC, AI integration
Campus Recruitment  -> recommendation system: collaborative filtering, data pipeline, frontend
Project Role Stack
knowledgeops-agent Enterprise AI platform baseline Spring AI, RAG, JWT/RBAC, Observability
tianji-ai-agent Business Agent case Java, Spring AI, Tool Calling, MCP, SSE
nebula-kb Knowledge operations platform Django, PostgreSQL, Redis, RAG + DeepDoc, Open WebUI
forgepilot-studio Auditable AI execution workspace Python, FastAPI, React, MCP
however-microservices-lab Cloud-native integration layer Go, Python, Java, Node.js, C#, K8s, gRPC
campus-recruitment-recommendation-system Applied recommendation system Spring Boot, Vue2, MySQL, Collaborative Filtering

Technical Review Path

  • 10 minutes: open knowledgeops-agent and tianji-ai-agent, then scan each README overview, architecture image, quick-start command, and release note.
  • 30 minutes: open each repository's docs/evidence/ pack, CI workflows, demo script, screenshots, and local run notes to verify that the projects are runnable and observable.
  • Source deep dive: start with KnowledgeOps workflow/RAG/memory modules, then Tianji routing and SSE agents, NebulaKB lifecycle services, ForgePilot control plane, and Microservices Lab deployment paths.

Full cross-repository demo mainline: docs/ai-matrix-demo-mainline.md.

Contact

  • Email: liuhowever@gmail.com
  • Interests: AI products, backend engineering, consumer tech, history, travel, coffee shops, food, films, and football

Open Source Contributions

  • spring-ai-alibaba/examples #452 — docs: add module quickstart matrix to README
  • spring-ai-alibaba/examples #453 — chore: add .env.example for MCP/RAG/tool-calling modules
  • spring-ai-alibaba/examples #457 — docs: improve quickstart onboarding and troubleshooting
  • spring-ai-alibaba/examples #458 — chore: add env templates to more dashscope examples
  • MiniMax-AI/cli #84 — docs: fix video --download example and clarify auth credential locations

Pinned Loading

  1. knowledgeops-agent knowledgeops-agent Public

    Enterprise-ready Spring AI platform for RAG, tool calling, async ingestion, JWT/RBAC security, and observability.

    Java 185 14

  2. tianji-ai-agent tianji-ai-agent Public

    Spring AI agent engineering project with Java, MCP, RAG, tool calling, multimodal workflows, and UI prototypes.

    Java 44 3

  3. campus-recruitment-recommendation-system campus-recruitment-recommendation-system Public

    Campus recruitment recommendation system built with Spring Boot, Vue, MySQL, and user-based collaborative filtering for job matching.

    Vue 14 2

  4. forgepilot-studio forgepilot-studio Public

    AI engineering execution workbench for dev teams - auditable task workflows, multi-model support, local/cloud/enterprise deployment.

    Python 22 1

  5. nebula-kb nebula-kb Public

    Local-first knowledge asset lifecycle platform — ingestion, governance, retrieval, feedback loops & ops dashboard. Built with Django, PostgreSQL (pgvector), Redis.

    Python 3 1

  6. however-microservices-lab however-microservices-lab Public

    Multi-language microservices lab with AI integration, 12 services on Kubernetes with gRPC and HTTP.

    Python 3