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Product Engineer

Systems underneath.

Systems under the surface APIs, data, auth, realtime, caching, background processing, messaging and the pipelines that keep a product honest in production. Close enough to the stack underneath to ship it myself.

Below is where that shows up products I'm building, how I prefer to stack things, and notes on schema, realtime, and shipping.

# projects

nmemo ai

The context decision layer for AI agents. Route, rank, and budget what the model sees from every source, in one call.

preview

Zellr

Fully managed PaaS GitHub uploads to R2, Redis builds, subdomain routing, Cloudflare DNS & tunnels.

githubpreview

# prefer

/preferred-stackWhat I reach for first — Turborepo, TypeScript, Go, Better Auth, Postgres, RAG, and all why.
/thesisNotes on taste, tradeoffs, and what good product engineering means.

# systems

/db-schemaHow I approach the schema of any problem — entities, edges, timing.
/realtimeWebSockets, Redis pub/sub, BullMQ — when realtime earns its keep.
/shippingDocker, k8s, Cloudflare, Vercel, Render — infra that isn’t vibes-only.

# builds

/nmemoHow nmemo got made. Context routing, ranking, budgets, and the voice + realtime path next.
/zellrHow Zellr got made — R2, Redis queues, subdomain routing, tunnels.