Building systems that are fast, reliable, and understood end-to-end.
I focus on how systems behave in production — latency, failure modes, and resource constraints.
- Backend Engineering: Designing low-latency, concurrent systems with Go and Node.js.
- AI Pipelines: Building and integrating Python-based ML pipelines and local inference.
- Infrastructure: Working deeply with Linux systems, bare-metal hardware, and homelabs.
Core Systems
AI / Data / Hardware
- Concurrency in Go: Worker pools, pipelines, and memory-efficient services.
- AI + Backend: Bridging Python ML pipelines with production-ready backends.
- System Reliability: Stability under load, failure handling, and observability.
- Simplicity > Cleverness
- Control > Abstraction
- Performance is a Feature
- If you don’t understand it, build it.