Artificial intelligence
AI work grounded in system behavior.
Projects and technical work spanning algorithmic modeling, enrichment pipelines, reproducible experiments, evaluation, and reliable decision support. The emphasis is on what the system does, how it is tested, and where its limits are.
Featured work
Implemented projects.
Optio.News
Optio.News turns 94 RSS sources into a fast, image-forward editorial experience with parallel crawling, image enrichment, adaptive cards, and burst-based trend detection.
Prisoner’s Dilemma: Algorithmic Modeling & Simulation Research Study
An interactive Python and Dash simulation for testing 40 decision strategies through reproducible tournaments, live analytics, head-to-head comparisons, and human play.
Ticker Tracker
A live financial dashboard engineered to remain useful when its free market-data sources fail, with dual-source failover, validation, caching, and parallel fetching.
Evidence-backed capabilities
What these projects demonstrate.
Free illustrated lessons
Where AI meets engineering practice.
AI-Enabled Systems Engineering
What happens when an AI agent reads and writes the system model directly—where the MBSE-plus-agent partnership is real today, and where it is still a research proposal.
02Trust, Complacency, and Situation Awareness
Part 2 of the Human Systems Integration primer: Endsley’s three levels, the out-of-the-loop problem, use/misuse/disuse/abuse, calibrated trust, and why training alone does not prevent automation bias.
03AI Teammates: What's Actually New
Part 3 of the Human Systems Integration primer: silent model updates, goal delegation instead of function allocation, failures that sound right, and how many agents one person can oversee.
04History and Future of Autonomous Systems
A special feature spanning both primers: an interactive timeline from Watt’s governor and cybernetics through Shakey, two AI winters, the DARPA challenges, and the transformer to agentic AI.