What changes when scientific data reaches terabyte scale?
Infrastructure, retrieval and maintainability become part of the problem itself.
AI, biomedical data systems, software, experiments and ideas — a personal space for things built, learned and still being explored.

Notes on models, interfaces, data, engineering and what actually makes an AI product useful.
Infrastructure, retrieval and maintainability become part of the problem itself.
Product concepts, diagrams, experiments and unfinished ideas.
Designed for a future workflow where a note, photo or idea can be sent from your phone to an AI publishing assistant. AI prepares the title, layout, summary, category and SEO before preview or publish.
LLMs, RAG, prompt systems and intelligent interfaces.
Scientific databases, microbiome and health-data systems.
Distributed services, APIs and event-driven architecture.
Production systems connecting data, research and users.
A focused 30-minute consultation with Kang Li for AI, software architecture, data systems, biomedical technology, research engineering or product implementation.
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