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moonrunnerkc/README.md

Brad Kinnard

AI Architect | Founder @ Aftermath Technologies | Offline Systems Engineer

I build offline LLM systems, multi-agent workflows, and cognitive architectures that run on real hardware. With over 20 years of software engineering experience, including 18 years as a solo developer, my work bridges the gap between AI research and practical, local-first execution. I design AI that retains memory, traces contradictions, and runs autonomously without relying on cloud infrastructure.

Core Stack

AI & Engineering: Python, PyTorch, Local LLMs (Ollama), Offline RL (CQL), Knowledge Graphs (NetworkX), Vector Retrieval.

Systems & Backend: Linux (Ubuntu), Node.js, TypeScript, FastAPI, Docker, Git.

Databases: PostgreSQL, Redis, Supabase.

Education

B.S. in Computer Science & Software Engineering, Park University

A.A. in General Studies, Wentworth Military Academy


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  1. copilot-swarm-orchestrator copilot-swarm-orchestrator Public

    Parallel execution of GitHub Copilot CLI sessions with dependency-aware scheduling, verification, and per-agent git branches.

    TypeScript 34

  2. Aftermath-Technologies-Ltd/symparse Aftermath-Technologies-Ltd/symparse Public

    A self-optimizing Unix pipeline tool that extracts unstructured data over stdin using local LLMs, automatically compiling ReDoS-proof fast-path Regex on the fly for 95% faster subsequent runs.

    Python

  3. rlfusion-orchestrator rlfusion-orchestrator Public

    Local-first cognitive engine with asymmetric dual-model inference, offline RL routing, chunk stability filtering, and sub-token consensus generation.

    Python 1

  4. Aftermath-Technologies-Ltd/sentinel-os-core Aftermath-Technologies-Ltd/sentinel-os-core Public

    Offline-first cognitive operating system for synthetic intelligence. Features belief ecology, RL-based goal evolution with differential privacy, contradiction tracing, HMAC-signed audit logs, sandb…

    Python 1