siryur
I work across the stack — backend services, data infrastructure, and the cloud platforms and observability tooling that keep them running — with a growing focus on applying AI and large language models to production systems.
Building backend services and large-scale systems in a range of languages.
Designing systems that stay correct and available as they scale, and the data stores behind them.
Provisioning and running the infrastructure applications ship on.
Keeping systems understandable in production, and applying AI where it earns its place.
Designing and running production systems where LLMs are a core component, not a bolted-on feature.
Building Model Context Protocol servers that give AI agents structured, safe access to real tools and data.
Authoring reusable, packaged capabilities that extend what an AI agent can reliably do on its own.
Building and maintaining automations that run on AI agents in production, not just one-off demos.
Prefer the straightforward solution. Add complexity only when the problem demands it.
Code that isn't deployed, monitored, and maintainable isn't finished.
Good decisions need to be understood, not just made — by teammates now and by whoever reads the code later.