🧠 what I do

Started with Russian literature. Ended up building safety infrastructure for agentic payments.

Not accidental. Every domain I've landed in runs systems written for one world while operating in another — health policy, private wealth, crypto. Same problem. Different stack.

Goldman PWM → OKX: building onchain. The gray zone followed me everywhere. I stopped running from it.

🔧 what I'm building

OmniClaw — agents can move money now. nothing checks if they should. pre-execution policy sim · authorization traceability · real-time enforcement 🏆 1st place, Circle × Google Gemini hackathon · $20k · 1000+ teams

💭 what I'm thinking about

• AI agents can spend money autonomously. who's liable when they shouldn't have?
• 撸毛 vs. legitimate arbitrage — identical onchain behavior. how do you tell the difference at scale?
• ERC-3643 writes compliance into the asset itself. X402 keeps it at the app layer. for autonomous agents, neither is fully right yet.

🗺️ other things I made

SF Web3 Quest — 17+ Bay Area web3 companies mapped in Dragon Quest style. because why not. HK Web3 Quest — same energy, different timezone. US Crypto Reg Tracker — weekly digest: CLARITY Act, stablecoins, enforcement CryptoAML Investigator — AI-assisted AML narrative generator. SAR-ready output.

🌊 off the clock

interests = {
    "sport": ["triathlon 🏊🚴🏃", "skiing ⛷️", "diving 🤿"],
    "vibe": "always training for something"
}