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Eddy Zhang

AI full-stack engineer building production AI systems
Sydney, Australia · RAG systems · LLM agents · Spring Cloud · Next.js

Portfolio  ·  LinkedIn  ·  Email  ·  Joblit

I build AI-native products where prompts, retrieval, model routing, evaluation, backend reliability, and product UX are treated as one production system. My work sits at the intersection of applied LLM engineering, full-stack product delivery, and cloud-native system design.

Current focus
RAG-powered agents, portable AI skill packs, eval-driven prompting, and multi-provider LLM orchestration.
Engineering base
Java / Spring Cloud services, TypeScript frontends, Postgres-backed product systems, and CI/CD delivery.
Operating style
Ship useful software, keep model behavior observable, and turn fragile prompt glue into reusable systems.

Selected Work

AI job-search platform built around Claude Code, structured prompt workflows, and multi-provider LLM routing.

  • Portable AI skill pack with versioned instructions and quality gates.
  • Claude, GPT, and Gemini routing for resilient generation flows.
  • Chrome Extension (Manifest V3) for ATS form assistance.
  • Next.js, TypeScript, Prisma, Postgres, and Vercel delivery.
Next.js · TypeScript · Prisma · Claude · MV3

Spring Cloud microservices platform with JWT SSO, RabbitMQ event flow, RBAC, and audit-oriented backend design.

  • Runner-up, Coding Fest 2025 at the University of Sydney.
  • 7+ services across auth, contest, submission, and operations flows.
  • RabbitMQ topics for asynchronous event processing.
  • Docker-composed local stack with AWS deployment targets.
Java · Spring Cloud · MySQL · RabbitMQ · Docker · AWS

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Sydney · Always shipping · Open to AI engineering opportunities

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