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Quazmoz/README.md

Hi, I'm Quinn 👋

AI Engineer · Automation Engineer · Product Builder

I build local AI infrastructure, agent systems, developer tooling, automation platforms, and production Android & Wear OS software.

Pixel art developer banner showing mobile, Wear OS, AI, automation, and app development

Portfolio Consulting LinkedIn YouTube

Local AI Agent Systems Platform Engineering Android and Wear OS


✨ Featured Engineering

🧠 InferBridge

Local AI workstation for Intel hardware.

InferBridge turns Intel Windows PCs into practical local AI workstations with an OpenAI-compatible server, browser UI, model lifecycle tooling, diagnostics, benchmarking, and CPU/GPU/NPU targeting through OpenVINO GenAI.

OpenVINO GenAI OpenAI-compatible API Windows Hardware targeting

InferBridge source InferBridge video InferBridge releases

🧠 MemoryOps

Memory control plane for AI agents.

Self-hosted, governed agent memory with ingestion, lifecycle management, hybrid retrieval, context packing, MCP access, auditability, and an operator UI.

Rust MCP Qdrant

MemoryOps source MemoryOps video

🤖 AgentDefaults

Production-minded infrastructure for AI-assisted engineering.

Reusable agents, composable skills, prompts, schemas, bounded execution loops, validation, and thin cross-tool wrappers for practical AI engineering workflows.

Agents MCP Validation

AgentDefaults source AgentDefaults index


🧩 What I Build

🧠 AI Infrastructure

Local inference, model serving, OpenAI-compatible APIs, OpenVINO, RAG, and CPU/GPU/NPU workloads.

🤖 Agent Systems

MCP, memory, tool orchestration, retrieval, governance, reusable agent behavior, and operator control planes.

⚙️ Platform Engineering

Terraform, Ansible, Kubernetes, GitOps, CI/CD, observability, secrets, and internal automation.

🛠️ Developer Tooling

Secure local tools, CLIs, workflow automation, packaging, diagnostics, and release engineering.

📱 Product Engineering

Android, Wear OS, Kotlin, Compose, phone-watch protocols, billing, and production release workflows.

Build the tool once. Remove the task forever.


🚧 Currently Building

Active

Making local AI more usable on ordinary Intel Windows hardware with stronger lifecycle, diagnostics, packaging, and real hardware evidence.

Active

A local browser interface for command-line tools with a secure allowlisted execution boundary and declarative pack model.

Active

Reusable agent infrastructure, bounded implementation/review loops, validation, and cross-tool engineering workflows.

📱 Private Product Work

Active

Android, Wear OS, automation, and 3D/mobile product work moving from focused ideas into production-grade releases.


📱 I Ship Products Too

Beyond infrastructure and AI engineering, I design, build, release, and operate Android and Wear OS products on Google Play.

⌚ WristCapture

Paired Android/Wear OS screenshot utility built around deliberate user initiation and native platform behavior.

🎛️ WebHookDeck

Phone-configured webhook deck for Wear OS with encrypted secrets, HMAC support, redaction, watch sync, tiles, and complications.

✈️ JetLag

Phone and Wear OS travel utility for time-zone planning, overlap windows, and weather-aware travel context.

🧰 Production patterns across the private mobile portfolio
  • Explicit user initiation for sensitive actions, foreground services, sensors, audio, screenshots, and automation triggers
  • Versioned phone-watch protocols with deterministic source-of-truth rules, stale-message rejection, and failure-specific states
  • Local-first data models with no developer backend where one is not required
  • Google Play Billing reconciliation, pending-purchase handling, restore flows, refund or revocation relocking, and clear free-versus-Pro boundaries
  • Android Keystore usage, secret redaction, bounded imports, safe network policies, and privacy-focused diagnostics
  • Release validation for lint, tests, minified builds, bundles, signing inputs, manifest constraints, API targets, and artifact checks
  • Accessibility semantics, large-text resilience, compact round-screen handling, and honest UI status reporting
  • Store-ready privacy policies, permissions documentation, Data Safety baselines, reviewer access flows, screenshots, and release checklists

🧰 Core Stack

AI & Agents

MCP OpenAI APIs OpenVINO Qdrant Local AI

Languages

Python Rust Go TypeScript Kotlin PowerShell Bash

Platform & Delivery

Terraform Ansible Kubernetes Docker GitHub Actions Grafana Android Wear OS


🗂️ More Public Work

Explore additional repositories and reference projects
Project Focus
K8S Homelab GitOps-managed hybrid Kubernetes platform for local AI, MCP services, automation, observability, and self-hosted tools
GroupMe MCP Go-based MCP server exposing GroupMe workflows through AI-friendly tools
npu-windows Earlier Intel NPU local-LLM server and predecessor to the broader InferBridge architecture
TerraformHomeLab Infrastructure-as-code layer associated with the homelab platform
GroupMeCommunityDocs GroupMe community documentation and reference material
ai.quinnfavo.com Public site repository for AI-focused content and experiments
devops-ai-prompts · helpfulscripts · Public Smaller prompt, script, and example collections

🎥 Technical Content

I publish practical walkthroughs around local AI, automation, developer tooling, agent systems, and shipping software.

Watch on YouTube

💼 Work With Me

I work on AI infrastructure, automation engineering, developer platforms, agent systems, and local/private AI deployments.

View consulting work

Pinned Loading

  1. InferBridge InferBridge Public

    Windows-first OpenAI-compatible local LLM server powered by OpenVINO GenAI for Intel CPU/GPU/NPU, with chat UI, model conversion, and setup scripts.

    Python 44 3

  2. K8SHomelab K8SHomelab Public

    GitOps Kubernetes homelab with Flux CD, local LLM inference, MCP agent infrastructure, monitoring stack, and self-hosted tooling on bare-metal + Oracle Cloud

    JavaScript 1

  3. memoryops memoryops Public

    Memory Operations Platform for AI agents — ingestion, lifecycle, token-aware retrieval, and control UI

    Rust 4

  4. agentdefaults agentdefaults Public

    Reusable AI agent defaults, prompts, skills, wrappers, and MCP video-editing workflows for coding, DevOps, token efficiency, and Palmier Pro automation.

    Python 3

  5. groupme-mcp groupme-mcp Public

    Go

  6. CLIHarbor CLIHarbor Public

    Go