My Projects

June 2026 to July 2026

A tool that simulates dozens of fake customers with different tastes and budgets, so a business can test how people might react to a new product before actually building it.

• Runs 50+ AI shopper personas at the same time to estimate how much people would pay, then suggests the price that would earn the most money overall.
• Built a way to swap between a paid AI model and a free local one under the hood, so testing at that scale doesn't blow through an API budget.

June 2026

A personal stock tracker that answers questions about your portfolio in plain English instead of making you dig through spreadsheets or menus.

• Figures out on its own which financial tool to use based on what you ask, so there's no manual menu digging.
• Caches market data so the app rarely calls outside services, keeping it fast and cheap to run.

June 2026

A scheduling app I built solo for a small business, so staff can see their shifts and managers don't have to chase people down for approvals.

• Sends automatic reminders, approvals, and schedule updates by email, so nobody has to follow up by hand.
• Built the styling so the whole look of the app can be changed from one settings file instead of editing every page.

2024 to 2025

The first website I ever built: an event signup page for a coffee shop, made entirely with plain JavaScript and no frameworks.

• Built a signup form that checks your answers as you type and shows friendly error messages.
• Added a pop up confirmation with a small animation, all built from scratch.

January 2026

A financial model estimating how much a company's customers are worth over time, compared to what it costs to win them in the first place.

• Estimated a year of customer value for over 36,000 customers using their buying history.
• Compared acquisition cost against customer value across 13 quarterly groups, to see which customers were actually worth chasing.
• Checked the marketing budget against a standard industry rule of thumb to see if spending made sense.

January 2026

An analysis of three years of sales data for a bedding company, looking at how a busier factory schedule affected product quality.

• Measured how consistent product quality stayed as production increased.
• Modeled what a small cost increase would do to next year's profit across five product lines.