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.