From Mockup to Market: My End-to-End Product Design Process
A detailed breakdown of my iterative design methodology, from initial research to final handoff, with practical tips for designers at every stage.
Hey, I'm Terry Ong AI Engineer
I craft systems where it scales and maintainable. Based in Malaysia, bringing ideas to life through code and creativity.
About Me
Applied AI Software Engineer with a track record of shipping LLM systems and placing in AI hackathons.
Focused on backend, cloud infrastructure, and turning AI prototypes into deployed products.
Work Experience
Latest Articles
Some of my recent thoughts
The Psychology of Color in UI Design
Exploring how strategic color choices can influence user behavior, evoke emotions, and enhance the overall user experience of digital products.
How I Built My Design System from Scratch
A practical guide to creating your own design system, from initial audit to implementation, and the lessons learned along the way.
Terry built our auth system for a multi-tenant Nuxt.js app and automated our financial data reconciliation pipeline. Solid engineer who just gets things done.
Raymond
CTO at FinKnight
I teamed up with Terry at a Hackathon and he built the entire 'GitHub for events' web app that lands us top 10. The guy ships under pressure like nobody else I've seen.
Nicholas Ooi
Full Stack Developer at ALPHV Technology
Terry led our team of 5 at the Deriv AI Hackathon and architected a prompt injection detector. We placed top 5 and the judges were genuinely impressed by the architecture.
Ryan Tan
Student at German-Malaysian Institute
Frequently Asked Questions
Answers to common questions about what I do and how I work.
I build AI-powered software systems — LLM pipelines, RAG applications, agentic workflows with LangGraph, and full-stack web apps with Nuxt.js and FastAPI. I also handle cloud infrastructure (AWS, Azure, Vercel, Supabase) and have experience automating financial data workflows, web scraping pipelines, and multi-tenant auth systems.
I focus on shipping working software fast and iterating. I start with understanding the problem, pick the simplest architecture that works, build it, then optimize. I've done this under extreme time pressure at hackathons (built and deployed a full marketplace in 2 hours) and in production environments at FinKnight.
Yes — I've placed in multiple AI hackathons including Student Winner at ASEAN AI Malaysia Summit Code Fest, 1st Runner Up at CIMB x Microsoft Data Science & Gen AI Hackathon, Apify Track Winner at the $1 Hackathon, and Top 5 at the Deriv AI Hackathon. I enjoy the intensity and the constraint of building something real under pressure.