AI Automation Engineer · Waterloo, ON · Open to Roles
I work in the layer between AI capability and day-to-day operations: decision logic, workflow orchestration, and the integration layer underneath them. The goal is simple: save time, remove manual work, and leave the team with something dependable after launch.
Built with & for
What gets built
I work in the layer between AI capability and day-to-day operations. The point is not novelty. The point is removing drag with systems a team can actually run around.
01
I design AI workflows that can read context, make decisions, and take action inside the tools your team already uses. OpenAI, Claude, tool calling, retrieval, and internal integrations when the process needs more than a chatbot.
02
I use n8n, Make, Zapier, and custom Node.js or TypeScript services to remove repetitive operational work. Routing, syncing, approvals, notifications, reporting, and handoffs built to run without babysitting.
03
When the workflow needs custom plumbing, I build the APIs, background jobs, dashboards, and system layer underneath it. The goal is not just to automate a task, but to make the operation reliable enough to run around it.
A short operational trace of how access, validation, and real workflow routing begin.
7+
Years shipping production systems
20,000+
Users on products I've built
40+
Specialists in my vetted build network when projects need to scale
Selected work
Revenue Operations · SaaS
Connected HubSpot, Airtable, and Slack via a custom n8n pipeline. Eliminated manual handoffs that were costing 18 hours a week.
18 hrs/week recovered. Zero missed handoffs in 60 days.
AI Systems · Fintech
AI co-pilot on Zendesk using Claude and LangChain. Tripled support volume. Same headcount.
62% ticket deflection. CSAT held at 4.8/5.
Workflow Automation · E-Commerce
Shopify to Notion to warehouse, fully automated. Real-time inventory alerts, zero human routing.
99.2% on-time shipping. Ops workload cut in half.
Whether you're hiring or need a system built, I'm worth a conversation.
