WHAT I DO
Four areas where I consistently take manual, error-prone work and turn it into dependable, reviewable systems — plus the process I follow to get there.
Repetitive, multi-step processes turned into scheduled, monitored pipelines that run on their own — with clear status, retries, and notifications when something needs a human.
Messy files from many sources reconciled, checked against rules, and turned into reviewer-ready reports — so decisions rest on evidence, not guesswork.
Web tools that centralize product data, apply pricing and stock rules, and flag risky changes before they reach production or cost a sale.
Dashboards, APIs, and interfaces that connect the systems a team already uses — replacing spreadsheets and copy-paste with something dependable.
HOW I BUILD
I start with how the work actually happens — inputs, decisions, exceptions, and owners — before choosing a single tool.
Validation, matching, and calculations stay explicit and testable. AI is added only where it genuinely improves the workflow.
Every important result comes with evidence, clear status, and a path for a person to verify or correct it.
Scheduling, logs, retries, health checks, and notifications keep it running long after launch.
SEE IT IN ACTION
The Work page has an interactive breakdown of real systems I've built, node by node.