THE LIBRARY
Research Library
Twenty research notes by Abdulmalik Ajisegiri on model validation, systems engineering, MBSE, optimization, and quantitative methods — the working library behind the case studies.
FEATURED NOTE
Validating Models Like a Skeptic: The Outcomes-Analysis Playbook
The SR 11-7 validation playbook: conceptual soundness, outcomes analysis with challenger models, ongoing monitoring — the attempt to kill your model.
Read the note →
Building an LLM Evaluation Harness: BLEU, ROUGE, SBERT, and Risk Tagging
Stacking Ensembles That Actually Generalize: Lessons from Clinical Risk Modeling
When R² Lies: Evaluating Regression for High-Stakes Decisions
Survivorship Bias and Lookahead: Two Backtest Killers, with Code
Monte Carlo for Decisions Under Uncertainty
Discrete-Event Simulation Experiments: Replications and Honest Statistics
Angle of Arrival on a Budget: Localizing Sound with Four Microphones and a Cortex-M4
DMA Double-Buffering for Continuous Sensor Capture
Low-Power TM4C123 Design: Hibernation, EEPROM, and a Validating UART CLI
How System Calls Actually Work: A Tour of a Tiny C Kernel
Zod at the Boundary: Validating Every Byte That Enters Your API
Codifying Engineering Judgment: What an Automated Code-Review Pipeline Should Actually Check
Verification and Validation Across the Systems Lifecycle
From Stakeholder Needs to Verification: Requirements Engineering for Complex Systems
Using Optimization and Metaheuristics for Engineering Decision Problems
Model-Based Systems Engineering and Requirements Traceability
Backtesting Quantitative Strategies Without Fooling Yourself
Detecting Model Decay: Ongoing Monitoring in Production
Stress Testing and Scenario Analysis for Quantitative Models