About

I started with a Master's in Psychology — not the typical path into trading systems, but it turned out to be surprisingly useful. Understanding how people make decisions under uncertainty, why markets behave irrationally, and what drives traders to panic or get greedy — that's all psychology.

Got into trading through early on-chain experiments. Made some good calls, did well enough to take it seriously. What started as personal trading turned into building systems to trade better, which turned into building systems for others to trade better.

Since then I've built market making systems, execution infrastructure, and pricing models across multiple exchanges. The work has processed billions in volume over the years. Most of it is private — trading infrastructure usually is — but the experience shapes everything I write and build publicly.

What I Actually Do

Currently at Biconomy as Lead AI Engineer, focused on Hyperliquid and DeFi trading systems. Day to day that means: designing how orders get routed, building pricing models that don't blow up in volatile markets, and making sure the whole system stays up when things get interesting.

Before that, I spent several years at SingularityDAO — started as an engineer, grew into leading the quantitative trading team. Built a lot of the core infrastructure from scratch.

Why I Write

There's a lot of noise in Web3 and DeFi. Teams throw around terms like "AI-powered trading" or "market making" without understanding what those things actually mean. I've sat in meetings where someone describes their "sophisticated market making algorithm" and it's basically just placing limit orders on both sides of the book.

I write to cut through that. Not to be contrarian for its own sake, but because I think there's value in explaining how these systems actually work — what's hard, what's not, and what questions you should be asking.

Get in Touch

Open to collaboration, consulting, or just interesting conversations about trading systems and DeFi. Also happy to do podcasts or speaking if the topic is right.