Background and practice

Systems engineer with agentic workflows

Ten years navigating distributed backends, developer infrastructure, and synthetic cognition. Designing resilient software systems that pair human architectural taste with autonomous model synthesis.

Operating dogma

Fewer moving parts, tighter invariants.

Production infrastructure should be predictable and boring. Synthetic models handle generative volume, while deterministic state, static binaries, and explicit boundaries anchor production safety.

Architecture and stack

Primitives and runtime tools

Production systems prioritize typed languages, embedded SQLite, and single static binaries. Microservices are introduced only when physical compute boundaries mandate them, keeping deployment overhead low and eliminating accidental network failures.

Agentic workflows operate inside sandboxed execution harnesses with explicit supervisory protocols. High-volume synthesis, automated regression fixtures, and continuous refactoring run continuously under human architectural review.

Initiate dialogue

Available for technical advisory, systems architecture audits, and collaboration on agentic tooling.