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raajmandale/README.md

Raaj Mandale

System Architect • Founder • ERANEST Systems Lab

Building deterministic infrastructure, survivable data systems, and next-generation compute architectures.

⚡ Systems Direction

Deterministic Compute → Survivable Data → Controlled AI Execution

🧠 Core Stack

QBAIX
↓
M-OS Runtime
↓
DFG (Reconstruction Engine)
↓
Digital Lifeline
↓
XAIAK (Risk Intelligence)
↓
XAIPT (Decision Gate)

🔬 Flagship Systems

⚙️ Compute

  • M-OS Runtime → Pattern-based execution
  • Parameter Golf → Context compression

💾 Survivability

  • DFG → Rebuild after failure
  • Digital Lifeline → Distributed recovery

🛡️ AI + Security

  • XAIAK → Risk intelligence
  • XAIPT → Approval-based execution

🎬 System View

⚡ Philosophy

Systems should not just run. They should survive, reconstruct, and enforce outcomes.

🚀 Explore

🌐 Research

https://zenodo.org/records/18798774

⚡ Deterministic Systems • Survivability • Pattern Compute

Pinned Loading

  1. mos-runtime mos-runtime Public

    ⚙️ Pattern-based runtime engine for hybrid compute orchestration.| M-OS — Pattern Graph Runtime for Hybrid Compute (CPU / OpenCL / AI backends)

    Python

  2. xaipt-decision-gate xaipt-decision-gate Public

    QR-based authority gating prototype for high-risk action governance and audit control.

    Python

  3. dfg-demo-lab dfg-demo-lab Public

    🧩 Deterministic Fragment Graph demo for graph-based data recovery. | Deterministic Fragment Graph (DFG) demo showing graph-based data fragmentation and reconstruction with visual and interactive ex…

    Python

  4. XLifelineAI XLifelineAI Public

    DFG-based AI Memory Resilience Layer — continuity under partial memory destruction

    Python 1

  5. mos-parameter-golf mos-parameter-golf Public

    CRS-LM: Structure-aware context reduction for tiny language models under Parameter Golf constraints

    Python 1