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POWDER-RANGER/README.md
POWDER-RANGER

Curtis Charles Farrar

POWDER-RANGER · SYSTEMS ARCHITECT · AI GOVERNANCE · SECURITY ENGINEERING

Portfolio GitHub ORCID GitHub Pages

I architect systems that think, defend themselves, and serve the public good.
Security, governance, evidence, and observability belong in the architecture.


ENGINEERING PROFILE

I am a self-directed systems engineer and architect whose public GitHub is the record of an ongoing technical laboratory.

I have developed this portfolio while maintaining full-time employment and without institutional infrastructure, dedicated compute clusters, or a large engineering budget. The work has been built primarily with consumer hardware and whatever open-source, local, or low-cost resources are available.

That constraint shaped the way I work:

learn the missing capability → build the experiment → define the invariant → test it → document the result → discover the next problem

The repository count is intentional. These repositories are separated learning vectors, experiments, architectural sandboxes, and evolving systems—not claims that every repository is a finished commercial product.

The public portfolio is therefore a curated view of a much larger engineering laboratory.


CURRENT CENTER OF GRAVITY · OCTOBER 2026

The active portfolio is converging around CIVINTELLIGENCE: a civic application and integration spine connecting Watchtower, Cell Titan, operator tooling, and supporting data/security surfaces.

Surface Current role Evidence
CIVINTELLIGENCE System of record and cross-repository integration spine Current history
CIVWATCH App Operator/application surface Current history
Cell Titan Specialized detection / intelligence rail Current history
Watchtower Monitoring / oversight rail Current history

Acceptance discipline: integration status is not treated as proof of production readiness. CI, tests, builds, security gates, and operational validation must earn that claim.


FLAGSHIP SYSTEMS

Distributed systems · Unreal Engine · multiplayer networking

  • v3.0 Unreal Engine 5.5+ plugin with UE6 forward-compatibility work
  • 15,000+ lines of C++ across runtime/editor modules
  • Server-authoritative simulation, client prediction, rollback, reconciliation, adaptive synchronization
  • Technical documentation, performance material, and live GitHub Pages presentation
  • 6 stars · 1 fork

Stars Commits Pages

02 · CIVWATCH

Civic systems · public-data tooling · platform integration

  • Large multi-component civic transparency platform
  • Traceable public-data ingestion and explicit demo/snapshot/live/unavailable states
  • Security, privacy, lineage, deployment, testing, roadmap, and validation documentation
  • Cross-project integration with the current CIVINTELLIGENCE spine
  • Active cleanup and security hardening are documented rather than hidden

03 · OBLISK

Multi-agent AI · symbolic planning · governed state

  • Multi-agent lifecycle and role-based coordination
  • AES-256-GCM encrypted vaults
  • Symbolic goal decomposition and planning
  • Policy enforcement, audit logging, event-driven messaging, observability
  • MIT licensed · 18 open issues · active development

Agent governance · deterministic enforcement

  • Deterministic finite-state execution
  • D01–D06 output governance gates
  • Hash-linked audit chain
  • HMAC-backed recovery/integrity mechanisms
  • Governance enforced structurally rather than treated as prompt text

Adversarial defense · purple-team systems

  • Red / Blue / Purple / Spectator operating model
  • React 19 + TypeScript + Vite + WebAssembly/WebGL surface
  • Zero-trust concepts, forensic reconstruction, detection engineering
  • Integrated offense/defense accountability model

EXPERIMENTAL / SPECIALIZED WORK

Deterministic language systems · reversible codecs · reproducibility

A deliberately scoped systems experiment built around deterministic generation, reversible encoding/decoding, runic orthography, explicit specifications, and a round-trip invariant.

decode(encode(x)) === x

The project includes unit tests, a regression fixture, CI verification, machine-readable specification, and a live browser implementation.

Research and tooling ecosystem

Other public work explores:

  • AI tooling and local-first workflows
  • security and OSINT automation
  • developer tooling and artifact systems
  • Unreal/game automation
  • creative AI pipelines
  • memory/context interfaces
  • data and civic monitoring
  • systems architecture prototypes

EXTERNAL PROOF OF WORK

Epic Games / MetaHuman

Two public pull requests currently connect my work to EpicGames/MetaHuman-DNA-Calibration:

  • PR #84 — Maya 2025/2026 compatibility foundation
  • PR #83 — preliminary DNA v2.5 version detection and user-facing error framework

Epic PRs

Credentials / Research Identity

  • C|OSINT|P — ZSecurity, July 2025
  • Learn Network Hacking From Scratch (WiFi & Wired) — Zaid Sabih / zSecurity, July 2025
  • Google Build with AI / AI Learning Lab, July 2026
  • ORCID: 0009-0008-9273-2458

PROOF BOARD

POWDER-RANGER Trophy Board

Repo-owned SVG. No trophy renderer, proxy service, or third-party image generator is required.


CONTRIBUTION ACTIVITY

GitHub contribution activity

The contribution snake is generated by GitHub Actions and committed to the repository's dedicated output branch.


STACK

Python TypeScript C++ Rust PowerShell Unreal Engine Docker GitHub Actions

Architecture: agent governance · distributed systems · civic data · zero-trust · observability · deterministic simulation · public-source intelligence


HOW TO READ THE REPOSITORIES

The repository ecosystem contains several kinds of work:

Flagship — substantial system with meaningful implementation depth.

Experiment — focused technical investigation or learning vector.

Research — hypothesis, measurement, or reproducibility work.

Prototype — deliberately exploratory implementation.

Archive — retained for history, reference, or lessons learned.

The existence of a repository does not imply that it is a finished product. Scope is determined by the repository's own status, evidence, tests, and documentation.


PRINCIPLES

  1. Governance is structural.
  2. Security is foundational.
  3. Evidence comes before inference.
  4. Failures are data.
  5. Constraints are design inputs.
  6. Build the system that can be audited, not merely the demo that can be shown.

WORK WITH ME

Consulting and collaboration on:

agent governance · security engineering · civic-data tooling · distributed systems · Unreal systems · technical architecture

Start here: powder-ranger.github.io

LinkedIn ORCID

Pinned Loading

  1. RED-AGENT-GOV RED-AGENT-GOV Public

    Governance-enforced Python agent engine for adversarial environments. Six-directive output gate, deterministic FSM, hash-chained audit, and cryptographic teardown. Compliance is architectural.

    Python 2

  2. CIVWATCH CIVWATCH Public

    Civic transparency platform

    TypeScript 2

  3. OBLISK OBLISK Public

    Multi-agent AI system with encrypted vaults, governance, and symbolic planning

    Python 2

  4. dollar-gravity-framework dollar-gravity-framework Public

    Interactive React + D3 dashboard mapping the USD-centric global finance-security system. Narrative. Reality. Projection.

    JavaScript 2

  5. nine-realities-netcode nine-realities-netcode Public

    Multi-client state reconciliation in multiplayer game networking: The N+1 concurrent simulation model and nine realities framework

    C++ 6 1

  6. RainGod-Comfy-Studio RainGod-Comfy-Studio Public

    🎵 RayneGod Comfy Studio - Node-based AI music workflow studio inspired by ComfyUI | Features draggable nodes, SVG connection pipelines, and real-time audio synthesis using Web Workers | Built for W…

    Python 2