I work at the intersection of data, digital & design, currently exploring what human-centred AI actually looks like in practice — have an idea, a question, or want to riff?
Live tools built as experiments — free to use, made to explore what AI can actually do when applied to a real problem.
Compare sustainability reports across companies side by side — metrics, emissions, governance. Built to make ESG data less opaque and more usable.
Try it → ◉Find out your MBTI type — but rated by the people who actually know you. Built to make personality typing less self-serving and more honest.
Try it → ❝30 question cards across 3 levels — start light, go deeper. A card game for conversations that actually go somewhere.
Try it →Selected work across energy, PropTech, and financial services — the interesting problems, not just the outcomes.
Rolling out GenAI inside a utility company isn't a tech problem — it's a trust, workflow, and change-management problem. The AI is the easy part.
A SaaS platform for national grid operations, with IoT and anomaly detection at the core. High stakes, legacy constraints, real operators.
Set up SP Group's agile and product practice from scratch. Small squads, real constraints, no runway for long planning cycles.
Product and UX across 4 Southeast Asian markets. Launched agent subscription products, grew the platform, reduced friction in the core flow.
Consumer energy platform in Singapore — rebuilt the experience from the ground up. Not a redesign project. A rethink of what the app was actually for.
At Commonwealth Bank of Australia — building financial products for businesses in Indonesia and Vietnam, where nothing came with a playbook.
Across energy, PropTech, and financial services — outcomes that stuck. Not here to impress, just to show the kind of problems I find interesting.
Have an idea, a question, or want to riff on what human-centred AI actually looks like? I'm always up for a conversation.