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I design and build local-first AI platforms, intelligent products and dependable automation systems across LLM inference, RAG, agentic workflows, computer vision and document intelligence. My background in structural engineering shapes a rigorous approach focused on clear architecture, measurable outcomes, traceable decisions and reliable operation. |
Current focus
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AI Station is a reproducible local-first AI workstation for Windows 11, WSL2, Docker and NVIDIA GPUs. It provides private inference, OpenAI-compatible local APIs, RAG, search, OCR, document processing, embeddings and speech recognition—while emphasizing deterministic installation, integrity verification, operational audits, backup and recovery.
I am open to technically serious collaboration involving local AI infrastructure, agentic systems, RAG, document intelligence, computer vision, engineering-focused AI, and reproducible deployment.


