Cloud & DevOps
Scalable infrastructure for AI-powered applications
End-to-end cloud infrastructure design covering auto-scaling GPU pipelines, zero-downtime deployments, Infrastructure as Code with Terraform, and cost optimization for ML inference workloads.
- The Challenge
- Cost-efficient GPU provisioning for ML inference
- GCP · AWS · Docker · Kubernetes
- Engineering
- Auto-scaling pipelines with zero-downtime deployments
- Cloud Run · Terraform · GitHub Actions
- Impact
- 70% infrastructure cost reduction
- 99.9% uptime SLA maintained