I build software that learns from how people actually love it. The interesting part was never the model or the infra on its own — it's the loop between what people need and a system reliable enough to benefit them. Right now I'm researching multi-agent for personalized learning at the Beckman Institute, and helping build an AI copilot for aircraft. Before this, I built data infrastructure at Sonic SVM on Solana, and worked on growth and ads at Tencent and Baidu. Looking back, the dots connect: each role taught me a different part of that loop — what people need, how to capture the signal, how to make the system hold in production.

I believe a great tool is a bicycle for the mind that amplifies human intelligence.

Here are all about this formula, the compound interest formula:

$$ FutureValue = PresentValue \left(1 + i\right)^{t} $$

• $PresentValue$ is who I am today. I stand here because of all the connected dots behind me: choices made, paths taken, and lessons learned.
• $i$ is growth rate. It fluctuates—sometimes slow, sometimes steep—but I stay in the game, always learning, always compounding.
• $t$ is time—the most important variable. The faster I move, the faster I learn. Acting early means more cycles, more feedback, more evolution. No one leaps to the top in one jump.