I build software that improves day-to-day operations—from cloud data pipelines and workflow automation to applied AI. My industrial engineering background helps me start with the process and deliver systems teams can use.

Most client and internal systems can’t be shared publicly, so these examples describe the work without naming organizations or linking to their repositories.

• Operations: replaced a recurring third-party service with an internal cloud system to reduce ongoing software costs.
• Fleet analytics: automated GPS data ingestion and exception reporting to make operational patterns easier to spot.
• Sales automation: built lead intake, classification, routing, and follow-up workflows, plus prospect research and fit scoring.
• Finance workflows: designed staged payment reminders with human approval before outreach.
• B2B commerce: built a digital catalog and multi-step quote flow connected to supplier, pricing, and stock updates.
• Applied AI: piloted a voice assistant to answer product questions and qualify enquiries.
• Predictive analytics: built people and healthcare modeling case studies with careful validation and fairness analysis.

Python · TypeScript · SQL · Google Cloud · BigQuery · Dataform · Terraform · scikit-learn · LLMs