I pair real systems judgment — Go, WebAssembly, on-device ML, low-level performance — with LLMs in the loop. The result: I design, build, and ship at a pace that used to take a team. This whole site is the proof — rendered by a UI framework I wrote, talking to a Go backend over a gRPC bridge I built.
Local-first budgeting suite — 40+ pages, live charts, a rules engine, an AI layer. All Go/WASM, no JS framework.
A self-hosted feed reader that is Go all the way down — the server, the client, and the CSS. Real gRPC in the browser; the only JavaScript that ships is a boot shim.
A React-style UI framework in Go→WASM. Hooks, a fiber runtime, SSR/hydration, typed HTML. Benchmarked head-to-head with React — faster on overall geomean. This site runs on it.
A no-JavaScript browser. Renders WebAssembly apps directly via a custom ABI (Blitz + wasmtime).
An agent-first programming language — explicit, auditable source designed to be written and read by LLMs.
Agent-native assembly — a RISC-V-first layer with a soft semantic overlay that advises, never gates.
A desktop dictation agent that runs Whisper on the NPU — pinned there for all-day battery, not just speed.
A journaling app that turns entries into a living self-portrait graph via a local model.
Email me at mr.e.cameron@gmail.com. The terminal has a live contact form over gRPC.
Best fit: senior systems or AI-tooling roles — Go, WebAssembly, on-device ML, agent infrastructure.