AI Automation Engine
Will made manifest — intention chained to execution.
Weaving complex neural architectures with robust fullstack systems. Navigating the grey fog of data to build deterministic magic.
I build production AI systems end to end — from model orchestration and retrieval pipelines to the interfaces people actually use. Six years turning ambiguous problems into deterministic, observable software. I work where research meets reliability: experiments that must ship, and systems that must reason.
Each step up the sequence — closer to the truth, heavier the responsibility.
First steps out of the fog — shipping React frontends and Node APIs for small-business clients. Learned to treat every deploy as a contract.
Built and maintained production platforms serving 50k+ users. Led the migration to a typed fullstack architecture and introduced the first LLM features into the product line.
Designing and shipping end-to-end AI systems for select clients — orchestration, retrieval, and the interfaces that make models usable. Where research meets reliability.
Three cards from the archive — drawn for those who build. Turn each to read the other side.
Will made manifest — intention chained to execution.
An event-driven engine that chains LLM calls, tool use, and human approvals into reliable workflows. Replaced 40+ hours of manual ops each month with auditable pipelines.
The bridge between voices — one throne, many tongues.
A routing layer over local and hosted models with cost, latency, and guardrail controls. One API, graceful fallbacks, and per-tenant policies.
The completed cycle — truth, made legible to all.
A real-time analytics dashboard: ingestion, storage, and a polished UI that lets non-technical teams interrogate their own data with confidence.
Three disciplines, practised in concert — the seer reads the surface, the savant forges the foundation, the oracle awakens the machine.
Interfaces with intent — fast, accessible, precise.
Foundations that endure — observable, deterministic, scalable.
Systems that reason — models, retrieval, and orchestrated intent.