RYAN ZERNACH

Full-Stack 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 constraint is throughput: how much context a machine can hold, how many tools can stay open, how quickly ideas can be tested, and whether everything still moves when code, data, models, and agents all need resources. My setup answers that constraint with a premium mobile workstation for shipping anywhere and an always-on desktop node for local LLMs, background agents, and continuous experimentation.

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

Summary

AI changed what a serious engineering workstation needs to carry. Full-stack AI/ML delivery now spans application code, infrastructure, eval pipelines, local inference, observability, agents, and product execution. Memory bandwidth, SSD capacity, and stable networking are business levers now. 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

There is no mystery in it: product judgment, cross-stack experience, and an environment built for sustained execution compound. Strong models and capable hardware give the engineer more room to turn good decisions into shipped work.

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 a serious pace.