About Me
I am Quinn Favo, a software engineer focused on building pragmatic, high-performance applications and robust AI systems.
My background spans across cloud infrastructure, DevOps, and mobile development. I specialize in bridging the gap between data science and platform engineering, helping enterprises deploy secure, scalable AI models on their own infrastructure.
I believe in writing clean, maintainable code and avoiding the hype cycle. Whether I'm orchestrating a Kubernetes cluster for an LLM deployment or optimizing a native Kotlin app for Wear OS, my focus is always on performance, security, and reliability.
Engineering Philosophy
- Performance is a feature. Whether it's a constrained edge device or a GPU cluster, efficient code respects resources.
- Own your infrastructure. In the age of AI, data privacy, compliance, and on-premise deployments are critical for enterprises.
- Build in public. I share my learnings, architectures, and code via YouTube and technical articles to help the community.