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leenathomas01/README.md

Hi, I'm Leena 👋

Systems Researcher & Architect

Exploring stability, adaptation, and control in complex systems.

Core Question

How do systems remain stable when assumptions fail?

My work explores recurring structural patterns across:

  • AI systems
  • governance
  • infrastructure
  • cognition
  • adaptive control systems

The focus is on stability under pressure, constraint management, and failure behavior in complex environments.

🗺️ Research Index

Central directory for active repositories, conceptual foundations, and experimental work:

📂 leenathomas01/research-index

research-index/
├── Conceptual Foundations
├── System Architecture
├── Governance & Restraint
└── Conceptual Seeds

Method

This work is developed through iterative human–AI collaboration.

  • Human: framing, synthesis, constraint definition
  • AI: exploration, iteration, adversarial pressure-testing

These repositories are exploratory architectural artifacts rather than production systems.

I use the nickname Zee in AI interactions.

LinkedIn | Medium

Pinned Loading

  1. Research-index Research-index Public

    Structural map of interconnected systems research across control, governance, resilience, and infrastructure. Inclusion signals architectural relevance, not production readiness.

  2. Stability-Before-Alignment Stability-Before-Alignment Public

    Structural stability architecture for self-modifying optimisation systems. Defines structural, dynamic, and perceptual control constraints that preserve coherence and stability before value alignment.

    Python

  3. Transition-Grammar-for-Reasoning-Systems Transition-Grammar-for-Reasoning-Systems Public

    Transition grammar for reasoning systems — modeling state transitions as first-class objects, with Layer 0 control ensuring causal state updates before stability constraints apply.

    Python

  4. connector-os connector-os Public

    The Autonomic Nervous System for LLMs. A reference architecture adding state-awareness, sensory feedback, and stability control to raw inference models. The engineering bridge from Chatbots to Agents.

    Python

  5. hyperloop-fxso hyperloop-fxso Public

    A derivation from Hyperloop Transformers to a field-based framework for emergent intelligence, with minimal experiments and open questions. From Hyperloop Transformers to a testable framework for e…

    Python

  6. Unlearnable-Interference Unlearnable-Interference Public

    (Formerly ZPRE-Implementation-6G). Repo demonstrates that adaptive interference cancellation fails - not due to insufficient model capacity - but due to the rate and structure of discontinuities in…

    Python 4