I build production AI systems: agent runtimes, orchestration workflows, context/RAG pipelines, tool-calling systems, and full-stack AI
applications.My current focus is the layer where LLMs become software. I’ve built systems that generate and modify live applications, orchestrate multi-agent workflows, stream structured outputs, connect to real business data, and deploy on cloud infrastructure with observability and persistent state.Recent proof points:- Built a GCP-native agent runtime demo that generates, runs, inspects, and modifies live apps through natural language.- Built production AI workflows across LangChain/LangGraph, Python/FastAPI, TypeScript/Nuxt, PostgreSQL, Docker, and GCP.- Built an AI form builder for FormKit/Kickstart, reducing manual form-creation operations by 70%.- Built a private-equity agent workflow for Vantager, serving LP workflows tied to $100B+ AUM.- Wrote a Modular article on beating an Unsloth CUDA kernel using Mojo after being invited by Chris Lattner.- Published practical AI coding workflow guidance with Vue School.I’m looking for senior AI engineering roles where I can build real agent systems: agent runtime/orchestration, applied AI, LLM infrastructure, AI developer tools, or forward-deployed AI engineering.Based in Toronto. Open to remote, hybrid, onsite, and US relocation where TN status works.