- 🤖 Building secure, evidence-driven AI agent systems, coding-agent orchestration, and MCP tooling.
- ⛓️ 8+ years shipping blockchain and distributed-systems software across Ethereum, Kaia, and EVM-compatible chains.
- 🛡️ Interested in reliable tool execution, least-privilege sandboxes, evaluation, and agent safety.
- 🌍 Working remotely and building in public where I can.
Python TypeScript Rust LLM agents MCP LLM evaluation Agent security Solidity Zero-knowledge proofs Distributed systems
- Conclave — decentralized backend with a from-scratch Raft implementation, including replication, snapshots, dynamic membership, linearizable reads, and a tamper-evident audit log.
- kaia-mcp — MCP server for Kaia accounts, tokens, NFTs, staking, and governance workflows.
- snarkjs-zk-demo — end-to-end ZK-SNARK demo with
snarkjsand Solidity verifiers. - Yul-in-Action — practical guide to Ethereum's Yul intermediate language.
Contributor to T3 Code v0.0.34, including provider-safety, Claude lifecycle, and provider-update UX fixes (#6602, #6606, #7761).
Contributor to LLM Wiki: Ollama web-search integration with API-key-free search.
I apply systems and protocol-engineering discipline to AI: secure agent tool use, reproducible evaluation, evidence-backed orchestration, and useful on-chain integrations.



