From the moment I assembled my first machine—screwdriver in hand, BIOS buzzing on a CRT screen—I knew tech wasn’t just a utility; it was a living system, waiting to be bent, broken, and rebuilt. Before low-code, before plug-and-play, I was soldering custom boards and coding drivers just to make hardware talk.

That hunger to understand the why behind the wire never left. It pulled me through the rise of cloud computing, the birth of containerization, and the leap into distributed architectures.

Along the way, I contributed to early open-source automation tools, helped shape integrations that later inspired how platforms like Zapier and n8n handle webhook workflows today, and worked on foundational ideas around distributed queues—long before they went mainstream via tools like Temporal and Prefect.

When large language models (LLMs) arrived, I didn’t just experiment—I built frameworks around them. I’ve since focused on crafting intelligent agents, modular AI systems, and automation flows that balance performance with clarity.

n8n is one of my tools of choice—not just for building workflows, but for prototyping ideas that touch data, logic, and user interaction at once. It’s where flexibility meets control, perfect for orchestrating AI-powered services, custom APIs, and backend automations that scale without losing soul.

I’ve helped design systems used in legal tech, health platforms, and real-time trading ops. What ties them together? A deep respect for clean architecture, human-centered logic, and tools that adapt instead of constrain.

I’m not here for the hype. I’m here for the build.

Let’s connect, automate, and push the edge forward—one node at a time.