I design institutional-grade blockchain infrastructure across multiple protocol families and client implementations. My work spans the full vertical — from consensus-layer protocol design and cryptographic security through smart contracts, tokenization workflows, governance systems, and the interfaces that sit on top. I architect these systems and I ship them personally, end to end.
Traditional finance background applied to blockchain systems engineering. Formal security practices — fuzz testing, invariant verification, adversarial modeling — and institutional thinking: custody isolation, separation of duties, auditable governance pipelines. Systems architecture for infrastructure designed to endure.
What I Design & Build:
- Protocol Engineering — Consensus-layer upgrades across multiple blockchain clients in multiple languages (Go, JVM/Scala, Java). Execution-layer proposals spanning dynamic fee markets, account abstraction, and transient storage. Cross-client interoperability testing on live testnets. Full node operation across all client implementations.
- Governance & Custody Systems — Governance and custody infrastructure for institutional blockchain environments — from non-transferable credential-based voting to DAO frameworks to prediction-market-based decision mechanisms. On-chain treasury systems with custody isolation, separation-of-duties enforcement, and auditable execution pipelines. Identity registries, DEX protocol architecture, token launch platforms. Rigorous formal verification at scale.
- Smart Contracts & Tokenization — Token standards (ERC-20, ERC-721, ERC-1400), tokenization workflows, and DeFi primitives including staking, liquidity provisioning, and lending protocols. The same architect who writes the contracts also builds the TypeScript interfaces, on-chain analytics dashboards, and product experiences — from contract architecture through user interaction with no handoff gap.
- Data Architecture & Infrastructure — Pipelines processing over a billion records across multiple large-scale datasets. Performance-engineered storage with order-of-magnitude throughput improvements. Multi-pass enrichment architectures and full-text search infrastructure serving complex queries across millions of documents.