JM

data-architecture

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data-architecture

The practical architecture beneath dashboards and decision systems: schemas, pipelines, retrieval layers, and durable information flow.

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May 22, 2026

A Machine for Cross-Examining My Greed

applied-aiweb-developmentProject: signal-deskresponsible-webai-workflowsdata-architecturenonsensestart-here 6 min read A Machine for Cross-Examining My Greed Signal Desk is a local AI-powered investment research desk I built precisely because I don’t know enough about investing to trust my own instincts. It turns scattered curiosity about AI companies, infrastructure, robotics, sensors, and market hype into a slower research ritual: filings, thesis cards, source-linked briefs, recommendation categories, discovery scans, and ghost trades that test ideas without risking real money. It does not give financial advice or place trades. Instead, it acts as a contradiction engine, helping me separate evidence from narrative before I do something financially...
March 20, 2026

Signal to Strategy: Why Scientific Classification is More than a Labeling Exercise

data-and-classificationProject: signal-to-strategybusiness-intelligenceconference-planningdata-architecturesemantic-searchstart-here 4 min read Signal to Strategy: Why Scientific Classification is More than a Labeling Exercise Scientific classification is more than tagging content after the fact. This article argues that classification should function as an interpretive layer inside the data architecture, giving messy scientific and operational records a shared vocabulary that makes them comparable, traceable, and strategically useful. Publications, grants, abstracts, investigator activity, and event signals all describe scientific activity from different angles, but without a durable classification layer they remain difficult to connect. By using Snowflake as the analytical backbone, supported by local validation workflows involving Postgres, Qdrant, OpenAlex, embeddings, and structured JSON outputs, the goal is to create an enrichment system that is inspectable enough to trust and flexible enough to refine. In a conference context, that layer can help identify emerging areas, converging communities, and better evidence for planning decisions.