I build systems that decide things under time pressure.

Endpoint scoring says a trip is fine if the fare and the destination look fine. It is wrong often enough to matter, because it never asks what the route actually passes through on the way.

This engine builds a corridor between pickup and dropoff, then intersects it against a graph of traffic observations logged by the driver — weighting hits by whether they are inside the corridor, near it, and whether their time profile matches the current trip. Evidence the driver gathered themselves, rather than generic congestion assumptions.

A multi-tenant platform that turns a screenshot of an offer into a scored accept or decline verdict. OCR ingestion from a one-tap iOS Shortcut, a parser that survives promotional overlays painted across the source, and a scoring engine that charges the unpaid pickup miles and the per-job overhead before judging the rate.

Roughly 98% OCR accuracy through multi-stage validation and fallback, and around a 90% reduction in manual document handling.

A multi-stage PDF pipeline converting unstructured documents into validated JSON, cutting manual review by roughly 80%. The multi-stage part is the point — a single extraction pass is confident and wrong, whereas staged validation can tell you which fields it is unsure about.

An automated workflow that classifies inbound attachments, extracts metadata, runs OCR, and routes files onward for processing.

My own design documents mark each idea as proven, shadow-mode, or aspirational, and I keep that distinction on this site too. A corridor score running in shadow mode is genuinely interesting; describing it as shipped would be a lie that collapses in the first technical conversation. Knowing which of your ideas are still unproven is part of the engineering, not an admission against it.

None of these systems get a clean API. They get OCR text with advertising painted through it, GPS that drifts, and a phone that may be thermally throttled. So failure paths are designed first: a missing OCR provider degrades one request instead of killing the process, a bad parse lands in a recoverable state with its raw text intact, and every correction is rescored through the same function as the original rather than patched in beside it.

The corridor engine exists because static zone heuristics were guesses dressed up as rules. Replacing them meant building the boring part first — a two-tap logger that records what the driver actually observed, by area and time of day — and only then letting the scoring lean on it. Slower to start, and the only version that improves with use.