Mohamed E.

Your platform has a problem. The cloud costs too much, it breaks under load, or models stall before they ever reach production. That's the work I fix on AWS, GCP, and Kubernetes. Recent work - A HIPAA-compliant cloud infrastructure on GCP designed for secure storage, processing, and analysis of medical imaging data. Technology stack: GCP, Google Cloud Healthcare API, GKE(Kubernetes), Cloud Storage, Cloud IAM, Terraform, and MongoDB Atlas. - LLM serving supporting AI agents, helping a team to run cost-effective multi-agent systems on private data and internal APIs. Technology stack: vLLM, LLM-D, Kubernetes, Amazon EKS, Terraform - A Kubernetes CSI Driver and Cloud Controller implementation helping a cloud provider to deploy their own Managed Kubernetes services. Technology stack: GoLang, Kubernetes, Container Storage Interface (CSI), custom Cloud Controller Manager (CCM), gRPC, Helm. - A Multicloud Solutions deployment across AWS and GCP enabling optimized cloud resource management and scalability. Technology stack: AWS, GCP, Kubernetes, Terraform, Self-hosted Prometheus. Three AWS certifications AWS Certified Solutions Architect – Professional AWS Certified SysOps Administrator – Associate AWS Certified Developer – Associate Message me with the cloud you are on, what has to reach production, and the deadline. I will reply with the approach and what the first milestone includes.