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A short snapshot of what I'm building, learning, and paying attention to right now.
Updated · July 2026
Exploring how local inference and better data structure cut latency and spend versus stuffing everything into model context — the work I most want to go deep on.
Deepening work on local-first memory engines and graph-shaped knowledge — reliability, traits, and performance without cloud defaults.
Writing and refining systems-level Rust: custom traits, IPC boundaries, and tooling that stays maintainable under real load.
Owning features end-to-end when needed — APIs, data, UI — with clean architecture and observability as defaults.
Starting to publish what I learn — systems, Rust, and AI infrastructure. First posts landing on the blog soon.