Cloud-native infrastructure that supports the workloads above - including GPU and ML serving - without surprise bills.
What I do
- Migration and modernization (lift, refactor, or rebuild)
- Kubernetes platforms, GPU scheduling, multi-tenant isolation
- Cost and reliability optimization, observability, security baseline
Clouds
- GCP: Vertex AI, BigQuery, GKE, Cloud Run, Cloud Functions
- AWS: EKS, S3, Lambda, Athena, VPC
- Cloud Foundry, Kubernetes, GitHub Actions
What you get
- Predictable cost, predictable latency
- A platform your team can extend, not just consume