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Essays, experiment logs, and technical notes across AI governance, reasoning systems, BioAI, and engineering practice.
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What AI Changed About Research Code — and What It Didn’t
The old bottleneck was writing the code. The new bottleneck is proving that the code still means what the theory meant.
Chaos Engineering for AI: Validating a Fail-Closed Pipeline with Fake Data and Math
A case study in AI governance showing how synthetic invalid inputs, structural disagreement, SIDRCE ethics checks, and end-to-end reliability scoring triggered a safe BLOCK verdict in a biomedical pipeline.
From 97% Model Accuracy to 74% Clinical Reliability: Building RSN-NNSL-GATE-001
Learn how RSN-NNSL-GATE-001 turns high model accuracy into system-level clinical reliability by blocking unsafe AI pipeline decisions, measuring end-to-end risk, and enforcing fail-closed governance.
My Code Fixed Itself at 11PM
A “Quantum Engine” is a dramatic name. Here’s the un-dramatic story.
⌨️She Said I Broke the Speed of Light. So I Turned It Into Math.
"You broke the speed of light." Instead of fighting the cosmic war, I built the Composite Reliability Index (CRI). It's the engineer's math model for filtering online noise, saving your sanity, and reclaiming your afternoons.