Brandon C.

I build AI-powered systems that run real businesses — not demos. My focus: agentic workflows, LLM integrations (Claude, GPT, open-source models), RAG pipelines, automation at scale, and the production backend engineering that makes AI reliable in regulated and high-stakes environments. I work with Python, TypeScript, Django, Node, React, and modern cloud infrastructure (AWS, Azure, GCP) to deliver end-to-end — from architecture through deployment. What I deliver today: - Multi-agent orchestration systems with tool calling, memory, and human-in-the-loop controls - AI-powered data extraction, classification, and enrichment pipelines at scale - Automation engines connecting CRMs, APIs, and business tools (n8n, Make, Zapier, custom) - Full-stack SaaS applications with AI features built in, not bolted on - CI/CD, ETL, and DevOps infrastructure that keeps AI systems production-grade I use AI tools (Cursor, Claude Code) as a daily multiplier in my own development workflow — it shows in speed and output quality. Background: 30+ years in software and infrastructure. I built and sold a million-dollar IT services company, then founded a software development firm where I've shipped production systems across fintech, healthcare, real estate, music, cybersecurity, and more. I've survived the dot-com crash, the Great Recession, and every hype cycle in between — I know the difference between technology that works and technology that just demos well. If you need an AI system that is accurate, auditable, and built to last — not just impressive in a pitch deck — let's talk.