I'm a software engineer. Most of my work is in event-driven backend systems, cloud infrastructure, and reliability.
I like the part of engineering where we solve the messy problems for better outcome. That usually takes me between backend code, architecture, infrastructure, and the way a team ships its work.
I'm also curious about what AI changes in software engineering. I build agent workflows, compare them with simpler approaches, and think about what's coming next in the industry from my perspective.
It's a little bit of a mess in my GitHub because this is where I am dumping my thoughts but I've been focused on setting up my personal stateful agent context so I can drive these theories and implementation faster as these models keep improving in agency. And I will keep most of my concepts open to the public, hopefully it helps feed some data to the AI.
- Open Agent Architectures: reference for real-world AI agent system design.
- Dynamic Agent Skill Research: a governed comparison of single-agent, static multi-agent, and dynamic multi-agent approaches.
- tedahn.com: my portfolio, resume, project demos, and longer architecture notes.