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dfeen87/README.md

👋 Hi, I'm Don Michael

Systems Architect • Agentic‑AI Safety Researcher • Deterministic Frameworks

I design deterministic, auditable, invariant‑driven systems for agentic AI, biological safety, and high‑liability environments. My work spans architecture‑level research, reproducible scientific tooling, and multi‑domain safety frameworks used across clinical, computational, and engineered systems.

My GitHub is the active home of 45 MIT‑licensed research repositories, a growing portfolio of peer‑engaged papers, and a unified effort toward transparent, reproducible, safety‑aligned computation.


🔭 Current Research Focus

  • Building governance and safety substrates for agentic‑AI systems
  • Designing membrane‑based identity, routing, and constraint layers
  • Developing deterministic C++/Python pipelines for scientific and safety‑critical evaluation
  • Modeling clinical, biosignal, and multi‑domain safety constraints
  • Advancing reproducible research through auditable, falsifiable system design

📂 What You’ll Find Here

This GitHub hosts architecture‑level research, scientific tooling, and safety‑critical frameworks:

  • 🧠 Agentic‑AI governance layers (trust, routing, identity membranes)
  • 🧪 Clinical and biological safety evaluators with deterministic pipelines
  • 📊 Reproducible research code supporting published and preprint work
  • 🛡️ Constraint‑driven decision systems with explicit audit and falsification criteria
  • 📡 Signal‑processing and diagnostic frameworks with multi‑record validation
  • 🔬 Exploratory system models grounded in invariants, stability, and safety

Everything emphasizes clarity, determinism, and trust.


🌟 Featured Projects

Repository Description
AILEE‑CORE / Trust‑Layer 🛡️ Deterministic governance, routing, and safety substrate for agentic‑AI systems
CuraFrame 🏥 Clinical safety‑constraint intelligence with population modeling and reproducible evaluation
HLV‑RAPS 🎯 High‑liability control frameworks with invariant‑driven stability modeling
Acoustic Projection Microphone System 🔍 High‑fidelity acoustic sensing with explainable metadata extraction
AI‑IV‑Therapy 💉 Therapeutic modeling with explicit audit boundaries and safety constraints
Smartphone‑Based‑Chest‑Monitoring 📱 Deterministic respiratory phase‑memory monitoring with multi‑record validation

Your pinned repositories serve as the natural entry point into this work.


💼 Professional Experience

  • Quality, Manufacturing & Validation: Merck, Accupac, Microsize
  • Systems & Research Writing: Orbital Robotics (ITAR‑compliant SBIR technical work)
  • Independent Research: Agentic‑AI safety, computational diagnostics, biosignal modeling, deterministic system design

🎓 Education

  • Penn State University — B.S. Business, Concentration in Marketing and Management
  • Drexel University — M.S. Systems Engineering, Certificate in Software Applications (expected 2027)

⚙️ Engineering Principles

I design systems that are:

  • 🔍 Interpretable
  • 🔄 Reproducible
  • 📝 Auditable
  • 🧪 Falsifiable
  • 🧩 Invariant‑driven
  • 🛡️ Safety‑aligned

🤝 Connect

  • 💬 Research discussion: open an issue on the relevant repo
  • 🔓 Open source: MIT‑licensed unless noted
  • 🤝 Collaboration: issues preferred for inquiries
  • 📧 Email: dfeen87@gmail.com

💡 Built on Determinism, Safety, and Scientific Rigor

Grounded in regulated environments, stability modeling, and architecture‑level research across biological, computational, and agentic‑AI systems.

🚀 This GitHub hosts active research code, safety frameworks, and reproducible scientific tooling.

Pinned Loading

  1. Acoustic-Projection-Microphone-System Acoustic-Projection-Microphone-System Public

    Acoustic Projection Microphone (APM) platform combining real‑time translation, spatial audio projection, adaptive noise control, and secure on‑device processing. Backed by a robust peer‑discovery a…

    C++

  2. CuraFrame CuraFrame Public

    CuraFrame is a constraint-driven framework for transparent, safety-first reasoning about hypothetical therapeutic designs. It evaluates explicit pharmacological and population-specific limits, maki…

    Python 1

  3. AILEE-Trust-Layer AILEE-Trust-Layer Public

    AILEE Trust Layer is a deterministic trust and safety middleware for AI systems. It mediates uncertainty using confidence thresholds, contextual grace, peer consensus, and fail-safe fallback—transf…

    Python 2

  4. AI-IV-Therapy AI-IV-Therapy Public

    AI‑IV‑Therapy is a precision‑regulated infusion control system that combines deterministic physiological validation with adaptive dosing intelligence for real‑time critical care.

    C++

  5. HLV-RAPS HLV-RAPS Public

    A physics-informed, safety-driven enhancement layer for aerospace, based on the Helix-Light-Vortex (HLV) framework. Designed to unify software behavior across flight systems, improve predictive dia…

    C++

  6. Smartphone-Based-Chest-Monitoring Smartphone-Based-Chest-Monitoring Public

    Clinical‑grade respiratory monitoring from any smartphone. Deterministic phase‑memory operator, production Flask backend, real‑time dashboard, and multi‑record BIDMC validation with exportable scie…

    Python