Problems Solved, Solutions Built

Problem

Engraving shops waste hours converting customer artwork into machine-ready files, delaying production.

Solution

Built a specialized vector conversion service delivering production-ready EPS and PLT files within 24-48 hours.

Outcome

26,000+ files processed over 13 years with zero production failures. 100% money-back guarantee.

Problem

Engraving companies manage thousands of logo files across scattered folders with no search or version tracking.

Solution

Building a searchable, permission-controlled catalog that links proofs, approvals, and production files in one place.

Outcome

In active development. Designed for shops processing 50+ unique logos per month.

Problem

Real estate professionals spend hours manually analyzing market data across multiple disconnected sources.

Solution

Built an AI-assisted analytics platform that aggregates data and surfaces actionable insights automatically.

Outcome

Currently in closed beta with internal stakeholders. Validates complex data pipeline architecture.

Problem

Crochet designers lack digital tools for creating, visualizing, and sharing patterns interactively.

Solution

Developed an interactive pattern design platform with real-time visualization using WebGL and Canvas API.

Outcome

MVP complete. Demonstrates expertise in creative tooling and visual interface design.

Problem

Handmade crafters need e-commerce that understands one-of-a-kind inventory and maker workflows.

Solution

Building a specialized e-commerce platform with integrated inventory, sales analytics, and maker-friendly UX.

Outcome

In active development. Focused on the unique needs of small-batch and handmade product sellers.

Problem

RV dealerships manage service, inventory, and customer relationships across fragmented legacy systems.

Solution

Designing a comprehensive operations platform that unifies service scheduling, parts inventory, and CRM.

Outcome

In development. Applies manufacturing operations expertise to the RV industry.

Problem

Multiple AI assistants working independently create fragmented workflows with no coordination or shared context.

Solution

Building an MCP server architecture that coordinates multiple AI assistants with shared context and task routing.

Outcome

In development. Exploring practical AI orchestration patterns for real-world development workflows.