I help product teams ship reliable, performant web applications. Focused on React, TypeScript, and the kind of frontend architecture that holds up under real-world complexity.
Modelling UI state as discriminated unions instead of boolean flags, so impossible states are unrepresentable rather than merely unlikely.
8 states, 0 boolean flags in a trading UI →Optimizing against numbers, not instinct — profiling first, then cutting the thing that actually costs, and reporting what it cost before and after.
1.8 MB video to 79 KB, ~3 ms per frame →Deciding which data is allowed to go stale, so the parts of a product that touch a user's money keep working when a backend does not.
Balances survive the API going down →The decision, the tradeoff, and what it still owes.
A spot trading UI where every button press spends real money and nothing can be rolled back. Modelling the whole flow as an explicit state machine — including the state where hop one succeeded and hop two failed — turned a class of impossible-to-debug UI bugs into transitions I could name and render.
Custom Node + Canvas pipeline that turns a generated 240-frame MP4 into an ambient ASCII animation on the home page — a fraction of the bandwidth of a <video> tag, near-zero idle CPU, and fully theme-aware.
Developed a spot trading interface for Hyperliquid L1 with automatic route discovery, multi-hop execution, and an agent wallet pattern to bypass EIP-712 signing constraints.
Arkenia's first indexer re-read contract state on every event and exhausted an Alchemy free tier in three days. Rebuilding it around event-sourced projection — deriving state instead of asking for it — took per-event RPC cost to zero and let both mainnet and testnet contours run on the free public Base endpoint.
Notes on the React patterns I keep arguing about.
Using TanStack Query for UI state or Zustand for server cache creates subtle bugs and unnecessary complexity. Here is why separation matters and how to do it right.
Race conditions in frontend state are silent, hard to reproduce, and everywhere. Most React apps have them. Here is how to find and fix them.
Most useMemo calls in production codebases do not improve performance. They add memory overhead, reduce readability, and give developers a false sense of optimization.