Most teams do not need more motion. They need a clearer read on what is actually getting in the way.
That is the work I keep coming back to: find the real constraint, cut what is unnecessary, and make the system easier to steer.
I do that work inside large operating systems under real load. The same pattern shows up in organizations where good intent can still turn into too much activity, too many tools, and too little room for judgment.
为无为，则无不治. Good systems leave room for judgment instead of crowding it out.
What I work on
- operational drag that hides the real bottleneck
- decision systems that create motion without enough clarity
- AI and tooling that should reduce load, not add noise
- operating models that need to hold up under real use
How I help
- make the real constraint easier to see
- simplify the system around the few decisions that matter
- use AI where it removes load and improves signal
Where this shows up in practice
TikTok I lead Operational Support and Efficiency at TikTok. My team uses AI to reduce operational load and test what AI-native operations look like in practice.
Engineering and operations My background spans engineering management, infrastructure, DevOps, payments, compliance, and platform work across TikTok, PayPal, Singapore Power, Nugit, and earlier software engineering roles.
Project Stable Staples (2020) Co-founded during COVID. Raised SGD 160,000. Supported 2,600+ individuals across 600+ households. Built a donation portal in under 2 days. Zero expense ratio. Later received presidential recognition.
Recognition President’s Volunteerism and Philanthropy Awards People of Good 2020. NUS Computing Outstanding Young Alumni 2022. NUS Outstanding Young Alumni 2021. Voice of Loving Kindness from Singapore Kindness Movement.