These are live, operational systems — built, deployed, and operated by one engineer. Each demo opens in a dedicated environment. Interact with real data, real APIs, real results.
Point it at any public GitHub repository, select compliance frameworks — NIST AI RMF, ISO 42001, EU AI Act, HIPAA, GDPR, SOC 2, ModelOps, AIOps, XDR, FinOps — and receive a scored governance compliance analysis in under 30 seconds. Deterministic pattern analysis against real source code. No mock data. No AI-generated guesses.
A full token audit of a 7-agent enterprise AI rationalization pipeline — real token counts from AWS Bedrock Converse API usage fields, not estimates. Per-agent cost breakdown, retry economics, prompt anatomy, and a prioritized optimization roadmap across a 36-application healthcare portfolio run. Shows $23.97 baseline path to $7.63 with three targeted changes.
How I approach enterprise application architecture — a full-stack AWS solution design for a HIPAA-compliant rationalization platform. Every component is a managed service chosen for compliance, zero operational overhead, and pay-per-use economics. Seven feature flows traced end-to-end from browser to data store, with explicit cost and data-path rationale.
Enterprise cloud migrations fail when dependency risk and cost assumptions aren't visible until cutover. This demo shows how I surface both — a live simulation built on masked data from a real healthcare engagement: AI-generated 6R dispositions across 1,053 servers, an interactive dependency graph that reveals hidden cross-stack risk, and a scenario simulator that lets stakeholders test migration waves before committing. The result: decisions made in steering committee instead of discovered in production.
Governance frameworks mean nothing without a process to enforce them. This demo visualizes the full AI development lifecycle as a gated pipeline — five control gates from requirements through production, with HITL approval checkpoints, CI/CD integration, scrum ceremony alignment, and a live RACI matrix. Built to show clients what responsible AI delivery actually looks like operationally, not just on a slide.
The prompt design, agent instruction contracts, and data flow behind the 6R Application Rationalization Framework — the same Bedrock multi-agent swarm that powered the Digital Twin Simulator and the 36-app healthcare engagement. Five specialized agents, parallel execution, structured JSON output contracts, and explicit uncertainty reporting via missing_intelligence_list.
A full-stack AI platform for theme park intelligence. Real-time crowd prediction, sellout event forecasting, satellite weather analysis, ML ride-wait models, and daily AI-generated social content — all running 24/7 on a multi-cloud stack across Azure, GCP, and AWS. Built and operated solo under $100/month.