☁️ Technology
Cloud & Compute Infrastructure
Scalable cloud architecture on AWS designed for AI training workloads, production inference, and enterprise application hosting.
Stack Details
- AWS SageMaker — Managed ML lifecycle from experimentation to endpoints
- AWS Lambda and ECS — Serverless and containerized compute for AI services
- Amazon EC2 with GPU instances — High-performance model training clusters
- Amazon S3 and Glue — Scalable data lake storage and ETL processing
- Docker and Kubernetes (EKS) — Container orchestration for reproducible workloads
- Terraform — Infrastructure as Code for version-controlled environments
- CI/CD Pipelines — GitHub Actions and ArgoCD for automated deployment
- CloudWatch and Grafana — Comprehensive monitoring, alerting, and dashboards
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