I build deterministic, auditable, invariant‑driven computational systems for agentic‑AI safety, biological diagnostics, and high‑liability environments. My work focuses on architecture‑level research: trust membranes, routing substrates, reproducible scientific tooling, and multi‑domain safety evaluators spanning clinical, computational, and engineered systems.
This GitHub is the active home of MIT‑licensed research frameworks, peer‑engaged papers, and a growing ecosystem of safety‑aligned, reproducible computation.
- Agentic‑AI governance substrates — trust membranes, routing layers, constraint systems
- Deterministic evaluation pipelines — C++/Python scientific kernels
- Safety‑critical modeling — biosignal, clinical, and multi‑domain constraint intelligence
- Invariant‑driven system design — falsifiable, auditable, stability‑aligned architectures
- Reproducible research tooling — transparent scientific computation
A unified body of architecture‑level research:
- Agentic‑AI trust layers — identity membranes, deterministic routing
- Clinical & biological safety evaluators — reproducible pipelines with audit boundaries
- Scientific reproducibility frameworks — falsifiable, deterministic computation
- High‑liability control systems — invariant‑driven stability modeling
- Signal‑processing diagnostics — multi‑record validation, explainable metadata
- Exploratory system models — stability, invariants, safety
Everything is built around clarity, determinism, and trust.
| Repository | Description |
|---|---|
| AILEE‑Trust | Deterministic governance, routing, and safety substrate for agentic‑AI systems |
| CuraFrame | Clinical safety‑constraint intelligence with reproducible evaluation |
| 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 |
| U.F.O. | Agentic AI with capability to connect to Legacy Hardware |
- Quality, Manufacturing & Validation — Merck, Accupac, Microsize
- Systems & Research Writing — Orbital Robotics (ITAR‑compliant SBIR technical work)
- Independent Research — agentic‑AI safety, biosignal modeling, deterministic system design
- Penn State University — B.S. Business (Marketing & Management)
- Drexel University — M.S. Systems Engineering + Software Applications (expected 2027)
- (Hopefully) Univesity of Southern California — PhD. in Computer Science (give or take before 2030)
I design systems that are:
- Interpretable
- Reproducible
- Auditable
- Falsifiable
- Invariant‑driven
- Safety‑aligned
- World Food Programme: Financial support for buying meals to those in hardship around the globe.
- American Red Cross: Platelet Donor. Currently at 40 units given to individuals in dire need for life support.
- Chopan Foundation: A Middle East Christian nonprofit that supports children and families dealing with hardship.
A systems‑focused research company building deterministic substrates for agentic‑AI and scientific computation.
https://github.com/Calintio
- Research discussion: open an issue
- Open source: MIT‑licensed unless noted
- Collaboration: issues preferred
- Email: dfeen87@gmail.com