Portfolio Index

A map of my public work — systems design, AI architecture, platform tooling, and independent research.

I'm a Product Manager building complex enterprise platforms by day. Independently, I work at the intersection of AI systems architecture and consumer software.

---

Start here

If you're new, start with one of these depending on what brought you here:

• Event governance & distributed systems → Systems of Trust Series
• Loyalty & platform systems → Loyalty Systems Series
• AI & ML UX prototypes → AI & ML UX Systems Series
• AI systems & architecture → Applied Intelligence Systems Series
• Independent research → RIA Research Notes

---

1. Systems of Trust Series

Tools and models for event governance, schema evolution, routing correctness, and cross-service meaning alignment.

Main Hub:
https://github.com/rtfenter/Systems-of-Trust-Series

Prototypes

• Event Quality Scanner
  https://github.com/rtfenter/Event-Quality-Scanner
• Event Consistency Checker
  https://github.com/rtfenter/Event-Consistency-Checker
• Truth Drift Map
  https://github.com/rtfenter/Truth-Drift-Map
• Cross-Service Meaning Comparator
  https://github.com/rtfenter/Cross-Service-Meaning-Comparator
• Schema Evolution Impact Analyzer
  https://github.com/rtfenter/Schema-Evolution-Impact-Analyzer
• Event Routing Contract Checker
  https://github.com/rtfenter/Event-Routing-Contract-Checker
• Ownership Boundary Validator
  https://github.com/rtfenter/Ownership-Boundary-Validator

Focus
Event contracts, schema drift, routing rules, dependency impacts, and semantic alignment across distributed systems.

---

2. Loyalty Systems Series

Applied loyalty architecture focused on FX, tiering, reconciliation, partner rules, and value drift.

Main Hub:
https://github.com/rtfenter/Loyalty-Systems-Series

Prototypes

• Loyalty Points Simulator
  https://github.com/rtfenter/Loyalty-Points-Simulator

• Loyalty Drift Dashboard
  https://github.com/rtfenter/Loyalty-Drift-Dashboard

• Loyalty Event Contract Validator
  https://github.com/rtfenter/Loyalty-Event-Contract-Validator

• Tier Progression Visualizer
  https://github.com/rtfenter/Loyalty-Tier-Progression-Visualizer

• Partner Rule Tester (Loyalty Edition)
  https://github.com/rtfenter/Loyalty-Partner-Rule-Tester

• Redemption Value Integrity Checker
  https://github.com/rtfenter/Loyalty-Redemption-Value-Checker

• FX Drift Analyzer for Loyalty Value
  https://github.com/rtfenter/Loyalty-FX-Drift-Analyzer

• Loyalty Ledger Reconciliation Sandbox
  https://github.com/rtfenter/Loyalty-Ledger-Reconciliation-Sandbox

Focus
Loyalty mechanics as distributed systems: event quality, FX normalization, reconciliation, and cross-market value alignment.

---

3. AI & ML UX Systems Series

UX-first AI prototypes that demonstrate model behavior, retrieval reasoning, explainability, and variation.

Main Hub:
https://github.com/rtfenter/AI-ML-UX-Systems-Series

Prototypes

• Minimal RAG Query Explorer (coming)
• Chat Model Behavior Sandbox
  https://github.com/rtfenter/Chat-Model-Behavior-Sandbox
• Model Explainer Playground (XAI Lite) (coming)
• Prompt–Response Variation Explorer
  https://github.com/rtfenter/Prompt-Response-Variation-Explorer
• Embeddings Visual Map
  https://github.com/rtfenter/Embeddings-Visual-Map

Focus
Accessible demonstrations of retrieval, prompting, embeddings, explainability, and model variability.

---

4. Applied Intelligence Systems Series

System-level views of how agents, models, and decision engines interpret signals and drift over time.

Main Hub:
https://github.com/rtfenter/Applied-Intelligence-Systems-Series

Prototypes

• Agent Behavior Sandbox
  https://github.com/rtfenter/Agent-Behavior-Sandbox
• ML Input Drift Playground (coming)
• LLM Governance Visualizer (coming)
• Model Decision Graph Viewer (coming)
• Agent State Transition Map
  https://github.com/rtfenter/Agent-State-Transition-Map
• AI Failure Mode Explorer
  https://github.com/rtfenter/AI-Failure-Mode-Explorer

Focus
Interpretation layers, rule application, drift, alignment boundaries, and failure modes in modern AI systems.

---

5. Recursive Identity Architecture (RIA)

Recursive Identity Architecture (RIA) is my original, independently developed framework for understanding how complex systems—human or machine—preserve coherence, meaning, and identity under contradiction and uncertainty.

Main Hub:
https://github.com/rtfenter/RIA-Research-Notes

RIA explores:

• meaning and authorship schemas
• recursion and paradox stability
• signal compression and expansion
• identity integrity under uncertainty