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Semantic-Dropdown-Search!!!
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dfeen87/README.md

Don Michael Feeney Jr.

Life-science software engineer focused on regulated, safety-critical systems.

I build transparent, reproducible software for biological, diagnostic, and quality-driven environments, with direct experience in GMP manufacturing, validation, and regulated data systems.

My work sits at the intersection of:

  • biological systems
  • software engineering
  • quality & regulatory compliance
  • interpretable AI and diagnostics

What’s in this GitHub

This profile hosts:

  • research code supporting published and preprint work
  • validation and diagnostic tooling for biological systems
  • governance and safety layers for AI-assisted systems
  • exploratory system models with explicit falsification criteria

The emphasis throughout is on clarity, auditability, and trust.

Professional Focus

  • GMP / GLP-aligned software systems
  • Digital validation (IQ / OQ / PQ)
  • Quality systems, MES & LIMS
  • Deterministic and interpretable analytics
  • Research-driven diagnostics and stability analysis

I prioritize systems that remain explainable under scrutiny and safe to deploy in real biological and human contexts.

Selected Repositories

Repository Focus
Phase-Memory-Operator Deterministic diagnostics for hysteretic and path-dependent systems
Semantic-Dropdown-Search Explicit, explainable metadata search infrastructure
AILEE-Trust-Layer Safety and governance for AI-enabled systems
HLV-RAPS Systems-level modeling and control concepts
CuraFrame Clinical-oriented frameworks for biologically grounded analysis and diagnostics
AI-IV-Therapy Exploratory AI-assisted therapeutic systems with explicit safety and validation boundaries

Background

  • Quality & Manufacturing: Merck, Accupac, Microsize
  • Systems & Research Writing: Orbital Robotics (ITAR-compliant SBIR and technical work)
  • Independent Research: Computational diagnostics, biosignal modeling, system stability analysis

Education

  • Harvard University (Extension School)
    Master’s Program in Biology (admitted; matriculation upcoming) Graduate Certificate in AI

  • Penn State University
    B.S. Business (Marketing & Management)

Engineering Principles

I build systems that are:

  • interpretable over opaque
  • reproducible over optimized
  • auditable over clever
  • falsifiable rather than impressionistic

Professional Context

This work is informed by:

  • hands-on GMP manufacturing and quality experience
  • regulated software validation and documentation practices
  • independent research with an emphasis on testability and rigor

Engagement

  • Research discussion: please open an issue on the relevant repository
  • Reuse: repositories are MIT-licensed unless otherwise noted
  • Collaboration inquiries: GitHub issues preferred

This GitHub hosts active research code, validation tools, and exploratory systems work.

Pinned Loading

  1. Phase-Memory-Operator Phase-Memory-Operator Public

    Deterministic phase-memory operator for early detection of hysteresis-driven regime shifts in nonstationary systems.

    Python

  2. HLV-RAPS HLV-RAPS Public

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

    C++

  3. Semantic-Dropdown-Search Semantic-Dropdown-Search Public

    Semantic Dropdown Search is a schema-driven, open-source framework for indexing and querying text using structured dropdown semantics instead of hashtags. It enables deterministic, explainable sea…

    Python

  4. 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

  5. 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 1

  6. AI-IV-Therapy AI-IV-Therapy Public

    AI-Optimized IV Treatment Software for Adaptive Infusion Control in Critical Care.

    HTML