Hi, I'm
IPGPIVHHT
I build backend and distributed systems, and ship them end to end as products people actually use. Based in Singapore.
Cleon Liew
Full-Stack Developer · Singapore
I'm a full-stack engineer based in Singapore. I build production systems and care about getting both the engineering and the details right, especially where product and AI meet.
What I really love is finding problems and building things people actually benefit from. Most of what I've made started as something that bugged me, and I'd rather ship it end to end and get it in front of real users than leave it as an idea. When I'm not coding I'm usually trying out a new tool, reading about system design, or filling gaps in my CS fundamentals.
Backend & Distributed Systems
Real-time, horizontally scalable services and APIs.
Infrastructure & DevOps
Containerising, deploying, and automating delivery.
Databases
Modelling and querying for concurrency and scale.
Languages
What I reach for, across the stack and platforms.
Frontend & Mobile
Interfaces with React and TypeScript, web and native.
Applied AI
LLM features: RAG, agents, and classification.
Core CS
The fundamentals I build on.
Design & Teamwork
Shipping with people, and caring how it looks.
Designed and deployed an LLM-powered chatbot platform using Python, RAG, and vector search for public-sector decision-making. Built a real-time React analytics dashboard and trained an intent classification pipeline using RASA, backed by MongoDB and Elasticsearch for low-latency retrieval.
Led end-to-end development of a cross-platform claims management system using React and Python, reducing claim processing time from weeks to hours. Designed system architecture and Figma prototypes, implemented JWT authentication, RESTful APIs, and deployed backend services on Node.js with SMTP notification pipelines.
I Shipped an App: 7 Months In
7 months ago I shipped an app inspired by a problem I personally faced. Here's what I learned from building it, launching it, and eventually moving on.
Tinkering with voice-to-score Converter
Over the past few months I've been tinkering with a voice-to-score converter, here's what I've been exploring and what surprised me along the way.
Making Sense of Tennis Rackets with Graph‑RAG
I turned my own struggle with racket selection into a side project: RacketIQ, a demo that takes free-form queries and recommends rackets using LLMs, knowledge graphs, and vector search. It's small today, but building it showed me how these pieces fit together, and how scaled up it could make choosing a racket far less confusing.
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