Software architecture skill pack for architecture views, tradeoffs, quality attributes, risks, and decision support.
A hands-on lab showing how “improving” a single metric (AUC/accuracy/F1) can worsen real-world outcomes. Includes metric audits, slice checks, cost-sensitive evaluation, threshold tuning, and decision policies you can defend, so dashboards don’t quietly ship bad decisions.
Edwards HA, SJ Converse, KD Swan, and A Moehrenschlager. 2022. Trading off hatching success and cost in the captive breeding of Whooping Cranes. Animal Conservation 25:101-109.
A domain-relevant lab for engineering decision-making, scaling, debugging, and refactoring
A visual systems-thinking platform for exploring energy portfolios, infrastructure resilience, storage dynamics, bottlenecks, and coordination under stress.
📐 An MCP server for plan reasoning summaries in Claude Code
Demonstrate how relying on a single metric can mislead model evaluation and expose hidden failures in machine learning systems.
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