Builder. Systems thinker. Seven years in the work.

I started as a web developer. HTML, CSS, JavaScript. The basics. Over time I moved into full-stack engineering, then product management, then technical leadership. I co-founded a startup. Built platforms from zero to thousands of users. Shipped a blockchain product that raised $2.4M.

But what I kept coming back to was the gap between what technology promises and what it actually delivers for people doing real work. Automation that breaks. Integrations that need babysitting. AI tools that look good in demos and fall apart in production.

That's the problem I build against.

I specialise in AI workflow automation: LLMs, agents, pipelines, and the infrastructure that makes them reliable. I've worked with SaaS companies, fintech teams, e-commerce brands, and creative platforms. The problems are different. The approach is the same: understand the system, find the real bottleneck, build something that runs without me watching it.

I came to Canada with a plan and not much else. I built the plan as I went. That experience of navigating systems that weren't designed for you, making hard decisions under real pressure, and finding solutions when the conventional path isn't available shapes how I approach engineering. I don't just build AI workflows. I've lived the operational chaos they're meant to solve.

I work independently, with a vetted network of 40+ specialists when projects need to scale. I'm direct about what I can and can't do. I respond fast. I document everything.

Currently open to full-time AI engineering roles alongside select consulting projects.