Mr. Swain builds scalable LLM integrations, automation workflows, intelligent agents, and full-stack AI tools that solve real business problems — and deploy to production.
About
Based in Atlanta, GA — I design and build AI systems that go beyond demos into production. With a background spanning enterprise consulting at Capgemini, private AI development, and full-stack web deployment on Cloudflare, I bridge the gap between what AI can do and what businesses actually need.
Every system I build is end-to-end: requirements gathering, architecture, implementation, deployment, monitoring. No half-finished handoffs. No "proof of concept" that never ships.
Full BackgroundGPT-4, Claude, Gemini, LangChain, multi-agent systems
Python pipelines, RPA, document processing, API orchestration
Requirements, Agile, Salesforce, dashboards, KPIs
Cloudflare Workers/Pages, edge-native, production-grade
Work
Full-stack AI platform that converts voice commands and natural language into complete, deployed websites. Built on Cloudflare Workers with a TypeScript/React frontend, integrating GPT-4 for code generation and Wrangler for zero-friction deployment.
Multi-tenant SaaS application that leverages LLMs to scaffold full-stack applications from high-level product descriptions. Includes billing, auth, and AI-assisted code review pipelines.
Automated App Store Optimization platform that uses LLMs to generate, test, and iterate on Google Play Store listings. Analyzes competitor keywords, generates A/B test variants, and tracks ranking improvements.
Full production digital platform for music/content creators featuring AI-generated content workflows, integrated e-commerce, streaming capabilities, and a GPT-driven admin dashboard for autonomous content operations.
Expertise
Insights
A practical breakdown of where AI automation delivers the highest ROI in business operations — and what the real implementation looks like.
A prioritization framework for identifying which business processes to automate with AI — and which ones to leave alone.
Why most AI agent demos fail in production — and the engineering patterns that make agents actually work.
Let's Build
Whether you need an LLM integration, an automation pipeline, a business intelligence dashboard, or a full AI strategy — let's talk.