Building Systems That Survive Reality
I’m Nate — a systems programmer focused on reliability, automation, and intelligent infrastructure.
After an unexpected career change at 35, I discovered that programming isn’t about syntax or shiny interfaces (though those matter). It’s about understanding systems, anticipating failure, and building software that keeps working when conditions change.
I grew up on IRC, Usenet, and Hotline on my dad’s Macintosh — environments where systems were distributed, unreliable, and alive. That background made networking, concurrency, and infrastructure feel natural long before I knew the words DevOps or SRE.
Today I focus on backend systems, automation, and operational tooling — software that doesn’t just run, but runs well.
I like code that behaves like a living system: observable, resilient, and sometimes surprising.
What I Build
💼 Stock Trading Simulator Flask + PostgreSQL system with authentication, external APIs, environment-based configuration, and production deployment. Focused on data integrity, failure handling, and reproducible environments.
🌤️ Weather Intelligence System Go + Python hybrid system using concurrent data collection and JSON orchestration. Designed to explore cross-language services, pattern recognition, and operational coordination.
💬 P2P Chat System Production-ready distributed chat with UDP discovery, TCP connections, full-mesh networking, system installation, and cross-platform support. A hands-on exploration of reliability, discovery, and real-world networking.
🎮 Warcraft Logs CLI GraphQL API client with OAuth2, caching, and structured analysis. Built to automate data retrieval, validate assumptions, and surface hidden system behavior.
⚔️ War Card Game Cross-platform GUI built in Go using Fyne. My first fully shipped product — taught me packaging, distribution, and user-facing reliability.
📖 Knights and Creatures A Python text adventure with branching logic and emergent behavior — my first experiment in systems that tell stories.
What I Care About
- Reliability over cleverness
- Automation over repetition
- Observability over guessing
- Systems that degrade gracefully
- Infrastructure that developers trust
“Real systems are learned the same way real flying is: by respecting failure and practicing recovery.”