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Computer scientist, infrastructure automation builder, and cybersecurity enthusiast. Focused on breaking down complex architectural models, building local AI stacks, and hardening deployments.
Substantial history in complex systems infrastructure, network security, and educational computing architectures.
Experienced in constructing production-grade home lab environments, engineering network flows, and translating low-level concepts into scalable practical deployments.
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Designing and maintaining complex, event-driven integration pipelines using self-hosted n8n nodes. These pipelines seamlessly tie local scraping scripts, media stack events, messaging triggers, and LLM processing nodes together into cohesive, autonomous background agents that execute without manual intervention.
An advanced deployment of locally hosted Large Language Models leveraging the Hermes LLM model line integrated into the OpenClaw agent framework. This configuration handles local text inference, contextual memory storage, and agentic workflows entirely on-premise, guaranteeing data sovereignty and lightning-fast local execution loops.
To be honest, this project started as an OSINT request. I wasn't charging for this and hadn't tried either openclaw or hermes and this seemed perfect. Long story short, you need cloud AI for this. Fairly sure my time is worth more than the cost in tokens so thats reasuring.. for now.
A unified media ingestion and storage architecture self-hosted via TrueNAS apps and independent Docker Compose stacks. Utilizes segregated dataset volume mapping across high-throughput storage pools, optimized for media streaming, granular access control, and containerized isolation.