Infrastructure, systems design, and applied R&D for products that need to scale reliably, not just work in a demo.
Designing for scale, fault tolerance, and clear ownership boundaries.
Provisioning and managing infrastructure as code across AWS/GCP/Azure.
Profiling and optimizing systems under real production traffic.
Automated pipelines that make deploys routine, not risky.
Prototyping and validating new technical approaches before committing.
Incrementally re-architecting systems without stopping the business.
Kubernetes · Terraform · Go · Rust · Kafka · Redis · AWS / GCP / Azure · Prometheus & Grafana
Production-ready, versioned, and monitored.
Wired directly into your product's codebase.
Accuracy, latency, and failure-mode analysis.
So your team can operate and extend it independently.
Built an internal experimentation platform letting a research team provision environments and iterate on models far faster.