I'm a systems thinker. Always have been.

As a kid, I flipped over a toy train to watch the wheels compress a bag that made the choo-choo sound. I took things apart just to understand how they worked — and occasionally got them back together. That curiosity never left.

I connect things. Systems, APIs, ideas, people, hardware, software — if there are layers and interfaces, I want to understand them and connect them together.

My path has taken me through:

• The physics of silicon — doping, substrate behavior, the actual atoms doing the work
• Digital logic design — building a functioning CPU in VHDL, gate by gate
• IT Support - being a member of the College of Engineering IT Department, supporting all the computers and students in the college
• Interface engineering — at Xilinx, bridging C++ engines to Java UIs through SWIG-generated bindings, back when that was genuinely hard
• Post-production systems — where audio, video, networks, and storage all have to play nice together
• DevOps & personal automation — n8n instances, ZSH configurations, Raycast workflows, Notion systems — always optimizing

These days, I'm especially energized by LLM-facilitated development. Not because it writes code for me, but because it lets me operate at the systems level — sketching how things should connect and communicate, then diving into the details only where it matters. It's the most fun I've had building software.

🦀 Rust — feels like a safer, friendlier C++. I'm hooked.

🌐 TypeScript — for building things anyone can access from a browser. Typescript, not JavaScript, because I grew up with strongly typed languages.

🤖 LLM Orchestration — connecting models to systems to create something greater than the parts.

⚡ Performance & Optimization — whether it's minimizing latency, simplifying UX, or shaving seconds off my own workflows.

🚴 Road cycling & mountain biking — systems in motion
☕ Coffee & 🍷 wine — the good kind of optimization
🍳 Cooking — another system, honestly
📚 Reading
🧱 Legos — and magnet tiles with my 2-year-old
🧬 The human body — the ultimate system, still full of mysteries

I've long been fascinated by the brain and neural networks. In college, that interest led me to FPGAs as a way to mimic neurons in hardware. Twenty years later, I'm working with large language models. Full circle.

🔗 rproj.art — live projects & links
💻 GitHub — you're already here

I believe understanding how things work — really work — is a superpower. It lets you diagnose problems by intuition, see solutions others miss, and find joy in the elegant way systems fit together.