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000Wayne Lin

I build web productsend to end: database,API, and interface.

Full-stack developer working in React, TypeScript, and Node.js. I have shipped an Express and MySQL booking platform with JWT authentication, Spring Boot services behind a production e-commerce site, and LLM applications in daily use by practising lawyers.

Based
Sydney, NSW
Rights
Australian PR
Focus
React · TypeScript · Node.js
Status
Open to work
↓001Experience

001Experience

05
  1. 20232025

    Jincheng Tongda & Neal

    Legal AI Agent Developer

    • Built a LangChain-based legal AI agent used by 20+ lawyers for case research, statute analysis, and matter preparation.
    • Implemented an end-to-end RAG pipeline over 8,000+ case documents, statutes, and contracts — ingestion, embedding, vector search, retrieval, and response generation.
    • Designed multi-step agent workflows for query classification, document retrieval, and case comparison, cutting typical precedent research from around two hours to under 30 minutes.
    Jinan, CN
    • LangChain
    • RAG
    • Vector Search
    • LLM
  2. 20222023

    Wipro

    Java Backend Developer

    • Built and maintained Spring Boot services connecting a customer-facing web front end to backend systems, implementing and testing 20+ REST endpoints against an agreed API contract.
    • Managed builds and data persistence with Maven and Hibernate, keeping deployments repeatable and schema changes consistent across environments.
    Sydney, AU
    • Java
    • Spring Boot
    • Hibernate
    • Maven
    • REST
  3. 2022

    University of Queensland

    Researcher — Weakly Supervised Learning

    • Evaluated model performance on large unlabelled, heavily imbalanced medical datasets; led data cleaning and preprocessing in Python, TensorFlow, and PyTorch.
    • Built CNN and MLP models for weakly supervised learning across medical imaging and NLP-based cancer diagnosis tasks.
    Brisbane, AU
    • Python
    • PyTorch
    • TensorFlow
  4. 2021

    University of Queensland

    Researcher — Cardiovascular Signal Classification

    • Ran a full classification pipeline on Google Cloud Platform, from ingest through to result visualisation.
    • Built the CNN training pipeline with Hadoop, PyTorch, and Matplotlib, supporting cloud-based model experimentation.
    Brisbane, AU
    • Python
    • PyTorch
    • GCP
    • Hadoop
  5. 20192020

    Inspur

    Frontend Developer, Intern

    • Contributed to the delivery of a provincial government web portal using Java, HTML, and CSS.
    Jinan, CN
    • Java
    • HTML
    • CSS
Education
  1. 20202022

    University of Queensland

    Master of Information Technology

    Thesis — Weakly Supervised Learning for Cyber Attacks from Only Unlabeled Data. Applied unlabeled-unlabeled (UU) learning to intrusion detection across 1.5M+ network traffic records from four variants of three public benchmarks (KDDCup99, UNSW-NB15, CIC-IDS2017), evaluating performance under class imbalance down to 1.3% positive samples.

    Brisbane, AU
  2. 20142018

    University of Tasmania

    BE (Hons), Electrical Power Engineering

    Hobart, AU

002Projects

05

  • A course and field booking platform for a children's football academy — Express REST API, MySQL, and a WeChat Mini Program front end.

    JWT authentication with bcrypt hashing, a MySQL schema with versioned migrations, and a 13-screen client covering courses, coaches, orders, reservations, and an admin console. Time-slot conflict detection uses row-level locking so concurrent requests cannot double-book a field.

    Stack
    • Node.js
    • Express
    • MySQL
    • JWT
    • WeChat Mini Program

  • Statically rendered single-page site on the Next.js App Router, scoring 100 across Performance, Accessibility, Best Practices, and SEO on Lighthouse.

    A typed content layer, a token-driven design system in Tailwind v4, and scroll-linked motion with Lenis and Motion. All content is server-rendered so crawlers and applicant tracking systems can read it, and every animation degrades under prefers-reduced-motion.

    Stack
    • Next.js 16
    • React 19
    • TypeScript
    • Tailwind v4
    • Lenis

  • A real-time voice assistant for Android: speak, and it listens, thinks, and answers out loud — with barge-in, so you can interrupt it mid-sentence.

    Full-duplex speech pipeline — on-device VAD segmentation, cloud speech-to-text, LLM response, sentence-level TTS playback — running in a foreground service to survive backgrounding. Each UI language routes to a different speech stack behind one interface, with per-language voice and speed preferences and resumable conversation history.

    Stack
    • Kotlin
    • Jetpack Compose
    • Hilt
    • Room
    • DataStore

  • A self-hosted end-to-end remote development workflow on AWS Lightsail, driven from a chat client and deploying through MCP.

    HTTPS through an Nginx reverse proxy with Let's Encrypt, a Node gateway under PM2, and a bot front end driving an agentic coding CLI against isolated per-project workspaces. GitHub and Vercel MCP servers handle push-to-deploy, including tunnelling OAuth callbacks over SSH to authorise on a headless host. Deployment and integration work; the underlying bridge is open source.

    Stack
    • AWS Lightsail
    • Nginx
    • Node 20
    • PM2
    • MCP
    • Linux

  • Video rendered from React components — a data-driven bar chart race of Asian population, 1980 to 2025.

    D3 handles scales and geometry while Remotion interpolates per frame, so output is deterministic with no runtime transitions. A second piece films a five-section SaaS landing page as a 20-second promo by seeking a paused GSAP timeline from Remotion's frame clock.

    Stack
    • Remotion 4
    • React
    • TypeScript
    • D3
    • GSAP

003Stack

05
Frontend
  • React
  • Next.js
  • TypeScript
  • Tailwind CSS
  • GSAP
  • D3
Backend
  • Node.js
  • Express
  • Java
  • Spring Boot
  • REST APIs
  • JWT Auth
Data & ML
  • MySQL
  • Sequelize
  • Hibernate
  • Python
  • LangChain
  • RAG
  • PyTorch
Platform
  • AWS
  • GCP
  • Linux
  • Nginx
  • PM2
  • Git
Languages
  • English — fluent
  • Mandarin — native

004Info

I am a full-stack developer based in New South Wales with Australian permanent residency. I work across React and TypeScript on the front end and Node.js or Java on the back, and I am most interested in the unglamorous integration work that decides whether a system holds up in production.

Between 2023 and 2025 I was in Jinan, China, building an LLM-driven case-search and workflow tool inside a law firm. Since returning I have been building — a booking platform, an Android voice assistant, a self-hosted deployment pipeline, and this site.

I also keep a research foundation in applied machine learning from UQ: weakly supervised learning on medical and network-intrusion data, and a survey on pre-training published in Machine Intelligence Research.

Based
Sydney, NSW, Australia
Rights
Australian permanent resident
Open to
Sydney · Melbourne · Brisbane · Remote
Licence
Australian driver's licence

005Contact

Available for full-stack and backend work

The fastest way to reach me is email. I read everything and reply within a day.

waynelinEU@gmail.com
Email
waynelinEU@gmail.com↗
GitHub
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LinkedIn
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