Technology professional with 7+ years delivering enterprise solutions across banking, government, defense, and energy sectors. I design and build systems that solve real operational problems—from military asset management to nationwide access control systems.
Currently building Neumann, a 395K-line Rust distributed database with semantic consensus—developed in 37 days by orchestrating multiple AI coding agents under strict quality gates. This demonstrates both systems architecture depth and practical AI-augmented development at scale.
Strong track record in ITSM platforms (ServiceNow, Cherwell, Ivanti, Jira), cloud migrations, and security implementations. Calm communicator who delivers in both small agile teams and large multi-vendor programmes.
A production-grade distributed database runtime unifying relational, graph, and vector storage with semantic consensus. Built using AI-augmented development: architecting modular systems, directing 4-5 coding agents in parallel, integrating under strict quality gates (clippy pedantic, 95%+ coverage targets, 108 fuzz targets).
Self-directed study in systems design since 2009. Current focus: distributed consensus (Raft, CRDTs), ANN algorithms (HNSW, IVF, PQ), high-performance Rust. Regular speaker for technical and executive audiences; featured in Endpoint Pulse #33 and Bluechip newsletters.