software engineer, occasional tinkerer, definitely curious

Hello, I am Jabin

Full Stack Developer / Tech Enthusiast / Lifelong learner. I like building things that feel useful, a little thoughtful, and not painfully boring to use.

ProjectsContactResume

Base

Auckland, New Zealand

Focus

Full-stack + AI product work

Style

Curious, pragmatic, ship-minded

Quick readChat

In one sentence

Curious? Click me and ask the AI version of me a few questions.

Ask me directly

Right now

Building a portfolio that feels more like a person and less like a template.

What I gravitate toward

Full-stack products, AI-flavored ideas, clean UX, and systems that actually ship.

Who Am I

A clear picture of how I work

Hi, I'm Jabin Chen — a Master's graduate from the University of Auckland and a passionate developer who enjoys building impactful tech solutions. With hands-on experience in JavaScript, C#, and Python, I've developed full-stack applications using frameworks such as React, ASP.NET Core, and Node.js.

Driven by creativity and curiosity, I'm especially interested in how emerging technologies — particularly AI and cloud computing — can enhance user experiences and address real-world challenges. I'm always open to meaningful conversations about innovation and the future of technology.

A few useful signals

I enjoy building products where engineering and user experience have to work together, not compete.

I care a lot about shipping things that feel clean, useful, and well thought through under the hood.

When a project mixes full-stack work, AI, and practical product tradeoffs, I’m usually interested.

Skills

React.jsNode.jsC#SwiftDockerAWSASP.NETTypeScriptMachine LearningUI/UX Design
Selected work

Projects with actual personality

see the full project page
Medimate - AI-powered Medication Assistance

Project 01

Medimate - AI-powered Medication Assistance

Developed an innovative application that automates medication purchases by extracting data from product images using AI-driven image recognition.

ReactSwiftASP.NETDocker
MusicChat - AI-Enhanced Social Music Platform

Project 02

MusicChat - AI-Enhanced Social Music Platform

Built a full-stack web application integrating Spotify and OpenAI APIs, allowing users to review, chat, and discover music interactively.

MERN StackReactNode.jsMongoDB
Financial Podcast System

Project 03

Financial Podcast System

Developed a stock portfolio and AI news podcast system, integrating financial summaries and podcasts using Azure TTS.

ReactASP.NET CoreAzureDocker
Experience

FRW Healthcare Limited & ICT Graduate School

07/2024–12/2024

AI-powered medication purchasing platform.

  • Developed cross-platform UI with Swift (iOS) and React.js (Web); scalable RESTful APIs using Spring Boot.
  • Containerized applications with Docker, deployed on AWS with Nginx, and implemented CI/CD pipelines.
  • Enhanced pharmacy workflow efficiency by 40% through AI-driven automation and system performance tuning.

The University of Auckland

02/2023–12/2024

Teaching Assistant for Computer Science courses.

  • Evaluated and graded assignments for Principles of Programming, Software Fundamentals, and Computer Organisation.
  • Provided feedback and additional learning support to students, improving academic performance and understanding.

Musichat

07/2023–11/2023

Full Stack Developer for AI-integrated music web application.

  • Built full-stack app using MERN stack, integrating Spotify API for music playback and OpenAI API for conversational AI.
  • Implemented real-time chat with Socket.IO; optimized MongoDB for high concurrency in an Agile environment.

AI Financial Platform (Personal Project)

01/2025–Present

Stock portfolio and AI news podcast system.

  • Developed responsive frontend with React and Tailwind; secure routing via context-based authentication.
  • Designed layered RESTful APIs with ASP.NET Core and EF Core; integrated DeepSeek and NewsAPI for financial summaries.
  • Converted summaries into podcasts using Azure TTS; deployed services via Docker and Azure App Service with CI/CD.

Danone Nutricia (Virtual Internship)

06/2023

Display-only productivity web app.

  • Built a responsive frontend using React.js and designed user flows in Figma.
  • Developed RESTful APIs with Python Flask to retrieve and serve production order documents.
Education
Master of Information Technology – University of Auckland
Bachelor of Science in Computer Science – University of Auckland
Languages

English, Mandarin-Chinese

Hobbies

Exploring • Hiking • GitHub mini-projects