Building Multi-Agent Systems & Scalable Backends
I’m a backend engineer building the infrastructure that powers AI agents.
I don't just wrap LLMs in API calls; I build the distributed systems that make them reliable in production. My work focuses on handling the unpredictability of AI, ensuring agents can reason, plan, and execute tasks without breaking.
I solve these problems with Go, solid microservices architecture, and a focus on keeping things simple and observable.
- Build for Reliability: Fast is good, but consistent is better. I design systems to handle failure gracefully.
- Keep It Simple: I use boring, proven tools for infrastructure so I can focus innovation on the actual product.
- Treat Agents Like Software: AI isn't magic. It needs testing, versioning, and monitoring just like any other code.




