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DeFi Quant · On-chain Microstructure · Funding Rate Arbitrage

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I build systems that exploit microstructural inefficiencies in DeFi markets.
Funding rate arbitrage. Delta-neutral vaults. Flash loan execution. AMM dynamics.

what i work on

┌─────────────────────────────────────────────────────────────────┐
│  DELTA-NEUTRAL DEFI         │  ON-CHAIN EXECUTION               │
│  ─ Funding rate arbitrage   │  ─ Flash loan architecture        │
│  ─ Vault architecture       │  ─ MEV extraction flows           │
│  ─ Hedge rebalancing        │  ─ Liquidation capture            │
├─────────────────────────────────────────────────────────────────┤
│  AMM MARKET MAKING          │  MICROSTRUCTURE RESEARCH          │
│  ─ LP strategy optimization │  ─ Order flow analysis            │
│  ─ IL mitigation models     │  ─ Cross-venue divergence         │
│  ─ Fee tier analysis        │  ─ Funding rate modeling          │
└─────────────────────────────────────────────────────────────────┘

active systems

project description stack status
osprey Hyperliquid funding rate trading system Python · Hyperliquid SDK active
kingfisher On-chain execution engine Rust stealth
hmbqt Quantitative strategy infrastructure TypeScript · Rust stealth
osprey-ranger Multi-exchange funding rate scanner TypeScript active

stack

Languages    →  Rust  ·  Python  ·  TypeScript  ·  Solidity
Chains       →  Ethereum  ·  Solana  ·  Hyperliquid
Protocols    →  Uniswap V3  ·  Aave  ·  Hyperliquid Perps
Infra        →  FastAPI  ·  PostgreSQL  ·  Redis  ·  Docker
Quant        →  Game Theory  ·  Stochastic Calculus  ·  GARCH  ·  Monte Carlo

currently

→ MEV-adjacent flash loan execution flows
→ Cross-exchange funding rate divergence capture
→ AMM liquidity dynamics and IL mitigation models

elsewhere

  B.Sc. Computer Science  ·  University of Ibadan
  Quant Trader            ·  Algorealm Inc.  (2026 →)
  Backend Intern          ·  Beetle          (2025 → 2026)

Outside code: swimming · game theory · chess · mathematics for its own sake

My edge is not what I know. It is how fast I learn, unlearn, and rebuild.


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