Case Studies
Explore how architectural patterns from proprietary systems solve complex problems across industries
High-Frequency In-Process Simulation
Eliminating network latency to enable massive parallel genetic evolution. 92% reduction in cycle time through DI scope reuse, memory-resident data, and indicator memoization.
Application: Digital Twin Manufacturing
MoreStacked Ensemble "Oracle"
Two-layer ML architecture for signal filtering. Layer 1 predicts auxiliary tasks (breakeven, duration, ROI), Layer 2 meta-learner makes final trade decisions with 68% win rate.
Application: ICU Predictive Triage
MoreReactive State Machine
Phase-based execution logic that dynamically manages trade lifecycle. Mathematically truncates risk to zero after TP1 hit through conditional probability updates.
Application: Kubernetes Autoscaling
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These case studies demonstrate how rigorous mathematical thinking and architectural discipline create systems that are robust, scalable, and adaptable across domains.