Live product
01 / Business platform
MN Booth
A digital storefront and inquiry system for a Minneapolis photo booth business, built to make the path from discovery to booking clear, reliable, and easy to operate.
Pragmatic software engineer
I build practical software for real-world problems.
I’m Phia, a Minneapolis-based engineer turning complex workflows into focused products. I’m especially excited by what becomes possible when strong engineering judgment meets AI.
How I build
Practical engineering with AI
Selected work
Products built around real needs.
From market data and seller operations to local business systems and a privacy-first iPhone app.
Live product
Market intelligence
02 / Data product
TCG Market Tracker
A multi-game market intelligence platform that leans heavily on agentic AI. Its agents combine daily pricing, historical movement, graded value, listings, and external research to analyze opportunities, explain market shifts, and support social publishing and community engagement.
Seller operations
03 / Operational software
TCGMT Vendor
A seller workspace inside TCG Market Tracker for serialized inventory, market-aware pricing, QR labels, checkout, and sales reporting across the full card-show workflow.
iPhone app
04 / Consumer app
LastItem
A private, local-first iPhone app with reusable departure and return checklists, designed to help important gear leave and come home with you.
Residential care
05 / Community care
Aurora Assisted Living
A warm, accessible web experience for a St. Paul assisted living home, designed to make care information, availability, and visit scheduling easy to understand.
About me
Engineering with judgment.
I’m a pragmatic engineer who enjoys finding the smallest clear system that can solve a meaningful problem well.
My work spans product design, full-stack engineering, data pipelines, automation, mobile apps, and the operational details that turn a demo into a dependable product. I care about what happens after software ships: how it is understood, maintained, and used in the real world.
I see AI as a force multiplier for thoughtful engineers. The future I am interested in is not software built with less care, but better software built through faster feedback, broader exploration, and stronger human judgment.
Start with the workflow
Understand the real decision, handoff, or frustration before choosing the technology.
Build for the operator
Good systems make the next action obvious and stay understandable when the original builder steps away.
Use AI with judgment
Let AI widen the solution space while tests, evidence, and human accountability protect quality.
Areas I work across
- Product engineering
- Full-stack systems
- Data pipelines
- Operational tooling
- AI-assisted workflows
- iOS and SwiftUI
- Cloud infrastructure
Current focus
Focused on building.
I’m not pursuing new roles or client work right now. I’m still glad to connect with thoughtful engineers and builders, especially around practical software and where AI is taking the craft.