RYAN ZERNACH

Senior AI Systems Engineer

Ryan_Zernach_2025_Senior_AI_Systems_Engineer_Remote_United_States

BUILDING RELIABLE

HEALTHCARE AI

SCALING PRODUCTION

LLM SYSTEMS

ENGINEERING TRUSTED

AI INFRASTRUCTURE

DELIVERING INTELLIGENT

PATIENT IMPACT

🐎 Hardware is Horsepower

AI-native engineering is no longer limited by typing speed alone. The real bottleneck is throughput: how much context you can hold, how many tools you can run, how quickly you can test ideas, and whether your machine can keep pace when code, data, models, and agents all want resources at once. My setup is designed for that reality: one premium mobile workstation for shipping anywhere, and one always-on desktop node for local LLMs, background agents, and nonstop experimentation.

Hardware equals horsepower featured image with OpenAI, Cursor, a MacBook Pro, a Mac mini, and OpenClaw

Summary

The rise of AI changed what a serious engineering workstation looks like. Full-stack AI/ML delivery now spans application code, infrastructure, eval pipelines, local inference, observability, agents, and product execution. That means memory bandwidth, SSD capacity, and stable networking are now business levers. The machine is part of the stack.

M3 MacBook Pro

My Portable Command Center is the travel-ready primary build machine: 48GB unified memory, Gigabit Ethernet, Accessory Kit, 2TB SSD storage, and a 14-core CPU, 20-core GPU, 16-core Neural Engine configuration. It lets me keep a serious number of tools and workflows open while still moving quickly across web, iOS, Android, backend, cloud, and AI development.

M4 Mac Mini

My Always-On LLM Node is the dedicated second brain: 64GB unified memory, Gigabit Ethernet, Accessory Kit, 2TB SSD storage, and a 14-core CPU, 20-core GPU, 16-core Neural Engine configuration. It exists for local LLMs, persistent experiments, and my personal always-on OpenClaw agent 🦞 so I can keep background intelligence running without sacrificing responsiveness on the main machine.

Why This Setup Matters

This is not aesthetic desk candy. It is an engineering advantage tuned for the AI era.

The rise of AI changed the hardware equation

M3 MacBook Pro: premium mobile workstation

M4 Mac Mini: local models and persistent agents

What clients and teams actually get from this

Premium Full-Stack AI/ML Engineering

The magic is not mystical. It is the compounding effect of product judgment, cross-stack experience, and an environment built to sustain serious execution. When the models, hardware, and engineer are strong the person becomes dramatically more valuable.

In Short

  • One high-end mobile workstation for shipping from anywhere.
  • One dedicated desktop node for local LLMs and always-on automation.
  • Enough memory and storage headroom for real AI-native workflows, not toy demos.
  • A setup designed to help me deliver premium full-stack AI/ML work at unnatural speed.