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.
AI integrations and productivity tools
Why I wired Ollama to pick its own model I run Ollama on a fanless N100 box in the living-room closet. The CPU has AVX-VNNI but no dGPU, so every millisecond...
Why I Built This Hybrid Setup I run a local Llama 3.1 8B model on my Proxmox homelab for quick tasks—summarizing notes, extracting data from logs, answering...
Why I Started Looking Into This I run LM Studio on my Proxmox server to handle local AI inference for various automation tasks. The setup worked perfectly for...
Why I Built a Local Math Proof Assistant I've been running local LLMs for about a year now, mostly for text processing and code generation. But I kept...
Why I'm Running Multiple LLMs at Once I run several LLM workflows on my home server. Some handle code generation, others process documentation, and a few...
Why I Started Looking Into This I run Ollama on my Proxmox server with a passthrough NVIDIA GPU. It handles various automation tasks through n8n—summarizing...
# Implementing Semantic Caching for LLM APIs: Using Vector Embeddings to Match Similar Queries and Reduce Inference Costs Why I Built This I run several...
# Running Multiple Quantization Levels of the Same Model: Dynamic VRAM Allocation in Ollama for Speed vs Quality Tradeoffs Why I Started Running Multiple...
# Building AI-Assisted Code Review Pipelines: Using Local LLMs to Validate Pull Requests Before Human Review ## Why I Built This I maintain several projects...
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