With 15+ years of experience, I specialize in self-hosting, AI automation, and Vibe Coding – building applications using AI-powered tools like Google Antigravity, Dyad, and Cline. From homelabs to enterprise solutions.
Technical notes, walkthroughs, and troubleshooting write-ups focused on self-hosting, automation, networking, and developer tooling.
Why I Needed Network Segmentation for AI Workloads I run Ollama and LM Studio on my home network for local AI processing. Both tools listen on network ports...
Why I Built Custom Encryption for Tailscale State Files I run Tailscale on everything—Proxmox hosts, Docker containers, my Synology NAS, and a handful of...
Why I Migrated to Docker Secrets I've been running my self-hosted stack on Proxmox for years now. Most services run in Docker containers managed by Compose...
Why I Worked on This I run a small CI pipeline in my homelab using Cronicle and Docker. Most of my builds are multi-stage Node.js or Python images, and...
Why I Started Looking Into This I run multiple Docker Compose stacks on my Proxmox homelab—some for n8n workflows, some for monitoring tools, and a few...
Why I Built This I run several Docker containers on Proxmox—databases, monitoring tools, a few automation services. Most of them live on internal networks,...
Why I Built a Model Quantization Pipeline I run several AI models locally on my Proxmox cluster. Some run in Docker containers, others in VMs. The problem I...
Why I Built This I run LM Studio locally on my home server to handle various AI tasks—text processing, summarization, coding assistance. It works well, but I...
Why I Built a Local LLM Response Cache I run multiple LLMs locally—Mistral, Llama variants, and sometimes Qwen for specific tasks. These models live on my...
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