I Built a Self-Hosted Memory System for AI Agents
Persistence, retrieval and production-grade infrastructure design for agent memory, end to end.
Quinn Favo · Engineer · Builder · Creator
A hands-on engineer with a background as a DevOps Director, specializing in AI engineering, production AI infrastructure, and cloud automation that drive measurable business results.
About
My career has given me a unique perspective, from managing on-prem servers to architecting multi-cloud environments. While my experience as a Director provided strategic insight, my true passion is being the hands-on engineer who designs and codes the solutions that solve the toughest infrastructure problems.
As a technical expert who has architected cloud migrations, enhanced system reliability with Kubernetes, and engineered six-figure cost savings, I bring deep understanding of multi-cloud environments (Azure and AWS) and hands-on experience integrating modern AI solutions into the DevOps lifecycle, including deploying local LLMs and building AI-driven automation systems.
My approach centers on building robust, scalable systems from the ground up. Whether it's writing complex PowerShell automation, architecting Terraform infrastructure, or developing full-stack applications that solve operational challenges, I thrive on turning complex technical requirements into elegant, working solutions.
Stack
Selected work
Spearheaded the containerization of 10+ monolithic applications using Docker, deploying them to a mix of container platforms including Azure Kubernetes Service (AKS), which enhanced deployment velocity by 40%.
A deep dive into my personal multi-node Kubernetes cluster and how I use GitOps workflows with FluxCD and Helm to continuously learn and experiment with cutting-edge cloud-native technologies. Click to see the full project breakdown.
A deep dive into how I architected a secure and consistent dual-cloud (Azure & AWS) environment from the ground up using a unified Terraform codebase. Click to see the full project breakdown.
A deep dive into the complex PowerShell scripts I engineered and APIs I integrated to automate everything from Azure licensing to on-prem VMware and Cisco hardware. Click to see the technical implementation details.
A deep dive into the custom observability and data engineering solutions I architected using Prometheus, Grafana, and advanced API techniques. Click to see the full project breakdown.
A look at how my full-stack development background enables me to engineer more efficient, cost-effective infrastructure by understanding applications at the code level. Click to learn more.
Credentials
On camera
Real builds, start to finish: agent memory, autonomous DevOps, MCP tooling, and the Kubernetes homelab they run on.
Persistence, retrieval and production-grade infrastructure design for agent memory, end to end.
An autonomous agent working a real development workflow from code to merge.
MCP tool servers in Open WebUI, orchestrated on Kubernetes with MCPO.
The bare-metal cluster behind my AI workload testing, walked through rack to pods.
Context, persistence and retrieval managed across agent architectures.
Observability for self-hosted AI infrastructure with Grafana.
Where OpenAPI falls short for agent interactions, and how MCP closes the gap.
AI engineering
I am adept at integrating modern AI solutions to improve security, efficiency, and development processes. My hands-on experience goes beyond foundational knowledge and includes:
Craft
Effective DevOps is built on a foundation of high-quality, reliable code and repeatable processes. I have extensive experience implementing and enforcing best practices across the development lifecycle.
Contact
Ready to discuss how I can help drive your organization's cloud and DevOps initiatives? Let's connect and explore opportunities to work together.
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