Essays
The Journal253 essays
Long-form writing on AI, philosophy, psychology, and systems thinking.
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Streaming Architectures for Teams That Do Not Need Real-Time
Kafka cost far more than the team needed, since its consumers queried hourly or daily. Micro-batch delivered the same analytical outcomes for less.
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Privacy by Design Is an Architecture Pattern, Not a Checkbox
Systems built with privacy-by-design architectural patterns have fewer breaches, because privacy lives in the architecture rather than on a checklist. Privacy is a structural property of architecture, not a feature that can be bolted on.
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Time Series Data Requires Its Own Architecture
Migrating time series data from PostgreSQL to TimescaleDB cut query latency and storage, because the workload needed its own architecture. Time series access patterns need purpose-built architecture.
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The Fairness-Performance Tradeoff Is Real and Underreported
Enforcing demographic parity in production cost measurable accuracy every time, a tradeoff teams rarely report. Honest engagement beats denial.
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Open Source AI Ethics: Who Governs Models Without Owners
Widely downloaded open-weight models have no single entity controlling deployment. When harm occurs, current frameworks cannot say who is responsible.
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The Ethics of Expertise: When You Know More Than Your Stakeholder
When engineers know more than stakeholders about technical risks, moral obligations arise. Engineering decisions often involve information asymmetry, and the expert who knows more carries a duty to the approver who knows less. The expert bears the communication burden.
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Lakatos and the Research Program of Machine Learning
Lakatos distinguished progressive research programs from degenerative ones. ML has a progressive core of genuine prediction surrounded by a degenerative protective belt of scaling assumptions.
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Why smart people build bad systems: The curse of local optimization
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Subtraction as Strategy: Lean PMO Design
A three-person PMO outperformed a far larger one by removing recurring process touchpoints. Subtraction is harder than addition, which is why it pays off.
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Transparency in AI Is a UX Problem, Not Just a Model Problem
Redesigning a SHAP-based explanation interface improved user trust calibration. Transparency is a UX problem, not just a model problem. AI transparency is an information design problem, not just a model architecture problem.