Selected work

Projects.

A working sample. Some I built solo on nights and weekends. Others I led in partnership with engineering teams at Fortune 50 scale. All shipped, or close to it.

RooneyHunt, Solo dev project, shipped and live
01 / Shipped, Live

RooneyHunt

Solo dev project, shipped and live

A retro Duck Hunt style browser game built end to end with Claude Code. Progressive difficulty across 25+ rounds, a global high score leaderboard powered by Netlify serverless functions, and mobile responsive controls. Shipped to 100+ active players.

JavaScriptHTML5 CanvasNetlify FunctionsREST API
Play it live
Billy, AI paralegal, UW Dempsey Startup Competition
02 / Venture, Competition Entry

Billy

AI paralegal, UW Dempsey Startup Competition

An AI powered paralegal assistant for small to mid size law firms. Uses retrieval augmented generation to surface relevant case files, contracts, and correspondence across Clio, Outlook, and Google Drive, plus attorney performance analytics for firm leadership. Full go to market with TAM/SAM/SOM analysis and a $750K seed plan.

RAGPythonLLM OrchestrationClio APIMicrosoft 365
Case study on request
Autonomous Campaign Builder, Multi-agent AI system, T-Mobile
03 / Enterprise, Fortune 50 Telecom

Autonomous Campaign Builder

Multi-agent AI system, T-Mobile

A fully autonomous, multi-agent AI system that generates end to end marketing campaigns. Specialized agents handle audience segmentation, creative generation, channel strategy, and performance optimization, replacing what previously required cross functional teams and weeks of lead time.

Multi-Agent ArchitectureLLMsPrompt EngineeringAPI Orchestration
Case study on request
Signal, Multi-agent issue triage, MVP to production
04 / Enterprise, Customer Operations

Signal

Multi-agent issue triage, MVP to production

A multi-agent system built on Airtable that pulls signal from social media, customer care, in app feedback, and bug reports, then triages and reports on every customer issue in near real time. I built the MVP solo, then led product in partnership with engineering managers and developers to take it to production. Result: automated the equivalent of 6 FTEs of work, 5x the throughput, and cut triage time to under an hour.

Multi-Agent ArchitectureAirtableLLMsWorkflow AutomationProduct Leadership
Case study on request