I build the boring-but-important plumbing that makes AI actually useful β agentic workflows, infra-as-code, and a home lab that's one Tailscale config away from becoming sentient. My day-to-day is uv, Terraform, and asking local LLMs increasingly unreasonable questions.
class Todd:
def __init__(self):
self.machine = "Mac Studio M4 Max π"
self.current_obsession = ["agentic AI", "local LLMs", "home networking"]
self.now_building = "waltodders-hermes" # Python 3.12 + Terraform + Ansible
self.fuel = "coffee + classic synth-pop πΉ"
def why_local_llms(self):
return "Because the cloud is just someone else's GPU. π€·"π§ Local model rotation:
llama3.2Β·gemma3Β·deepseek-r1Β·openhermesMonitored withasitopbecause watching the GPU sweat is half the fun.
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A personal collection of configs, guides, and cheatsheets β my second brain for the terminal. |
Where I learn and test AI/ML data-engineering and model-development ideas. |
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My Hugo blog site. |
β‘ Powered by coffee, curiosity, and a suspiciously warm Mac Studio.