Role // Full-stack engineer · SaaS builder
I use pragmatic, sometimes boring technology to build systems that solve real problems, stay stable in production, and remain easy to change.
Work with users, payments, public adoption, and production constraints.
A paid mini SaaS that turns YouTube content into podcast-style listening workflows, built from an open-source project into a production product.
An accredited-employer data product for New Zealand job seekers and developers: a Chrome extension, interactive insights, dated Open Data snapshots, and a public API.
A self-hosted system that turns YouTube and Bilibili content into protected podcast feeds, with controllable sync, downloads, and storage.
Notes from real systems: PigeonPod Cloud, SaaS trade-offs, and backend-heavy product engineering.
How NZ Accredited Employer Inspector keeps official accreditation data, community page mappings, derived name matches, and operational state separate.
How I approached a seemingly simple browser extension as a data-trust problem, with explicit source boundaries, user-triggered verification, and explainable results.
In a production SaaS developed and maintained by one person, every layer of complexity eventually returns to that person. Complexity worth owning solves a real problem. The rest borrows time from both the product and its developer.
I prefer technology that is proven, observable, cheap enough to run, and simple enough to maintain.
APIs, service boundaries, MySQL, Redis, background jobs, distributed scheduling, and failure handling.
Readable interfaces for SaaS products, landing pages, dashboards, and content-heavy portfolio pages.
Deployment pipelines and operating choices sized for the business: reliable enough, simple enough, and cheap enough.
Product-building, engineering leadership, computer science study, and hands-on delivery across China and New Zealand.
PigeonPod Cloud
Built and operate a paid mini SaaS from an open-source product, covering product, backend, frontend, CI/CD, payments, queue design, and cost-aware operations.
Auckland University of Technology
Deepened an existing software engineering background with more rigorous computer science fundamentals, software design trade-offs, and international English-language collaboration.
Douyi Intelligent Technology
Led a cross-functional engineering team, managed Kubernetes infrastructure, and improved delivery workflows across multiple projects.
Independent Product Experiments
Shipped product prototypes and learned hard lessons in product validation, distribution, and the cost of building before demand is clear.
HAND Enterprise Solutions
Worked on enterprise software and industrial data platforms, including data architecture, performance improvement, and stakeholder-heavy delivery.
Auckland-based, open to practical software and product engineering conversations.
Auckland / NZT
I am based in Auckland and best suited to backend-leaning full-stack work, SaaS product engineering, queue-heavy systems, and teams that balance product curiosity with production discipline.
Java, Spring Boot, React, clear service boundaries, boring infrastructure, and production systems that are easy to operate.
Send the role, product context, or technical problem. I will reply with whether it looks like a strong fit.