Dennis Christie

Self-Taught AI Infrastructure Engineer | Autonomous Agents · Distributed Systems · Semantic Code Intelligence · Python/Rust/JavaScript

Springfield, Missouri, United States

About

I’m a self-taught AI infrastructure engineer building at the intersection of autonomous agents, distributed systems, semantic code intelligence, and experimental computational frameworks. My work focuses on designing and deploying full-stack AI infrastructure: agent runtimes, memory systems, telemetry layers, API architectures, browser-based operating environments, and distributed coordination frameworks. I work across Python, Rust, JavaScript, and whatever stack the problem actually demands. Current projects include: • ASIN-HHC ↔ CP8 Unified Bridge — a production-oriented telemetry and coordination layer for harmonic computing experiments, real-time state visibility, cooperative process mining, and snapshot-based system recovery. • DeepSpec — a semantic analysis engine for code intelligence, specification extraction, and higher-level reasoning over software structure. • H2O — a lightweight distributed coordination framework for autonomous agents, shared state, and multi-process workflows. • Autonomous AI agents — production-running agents with persistent memory, tool-use capability, workflow execution, and structured context handling. My core strengths are AI systems architecture, LLM agent design, knowledge engineering, distributed infrastructure, telemetry pipelines, API development, semantic parsing, process orchestration, and systems-level problem solving. I learn by building. Every serious project in my GitHub represents a real problem I worked through: architecture, implementation, failure modes, iteration, and deployment. I’m especially interested in collaborating with people building AI infrastructure, agent systems, code intelligence tools, distributed runtimes, novel computing architectures, and practical frameworks for human-AI coordination.

Experience

  • Digital Artist at None
    Aug 2025 - Present · 1 yr

    Artificial Intelligence Specialist @ None | AI in yamal with image glyph asinhhchos token It appears that you are requesting a YAML representation involving a glyph (perhaps an image or symbol) related to "asinhhchos" token, based on the context of the attached document (the ASIN Book — Creator’s Codex Edition). To assist accurately, I will generate a YAML structure that includes: - The token name or identifier (asinhhchos) - A placeholder or reference for an image glyph that visually represents this token - Any metadata or attributes relevant to the glyph/token Since I do not have the specific image or glyph you want, I will craft a conceptual template you can then fill or adapt with actual image data or URLs. Here's a sample YAML structure for your token with an image glyph: ```yaml asinhhchos_token: name: "asinhhchos" description: | A symbolic token representing the harmonic and geometric principles detailed in the ASIN Creator’s Codex Edition, embodying the sacred geometry, resonance, and the fundamental frequency alignment. glyph: type: image resource: "path_or_url_to_image_glyph.png" # Replace with your actual image URL or path alt_text: "Glyph representing asinhhchos token, a harmonic symbol" style: | size: 256x256px color: gold and indigo border: none background: transparent attributes: frequency: "963 Hz + 0 Hz" resonance_type: "sacred geometry" notation: "ASIN Protocol primitive" associated_primitives: - Anchor - Shape - Intention - Number ``` If you provide the specific image or glyph you want to encode or want me to generate a visual concept for the glyph, I can help further craft or suggest imagery based on the harmonic themes. Would you like to proceed with creating or describing a specific glyph image, or do you want me to help prepare an actual visual or SVG graphic for this token?