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    June 2026

    Cloud Native AI Platform

    Designing scalable cloud-native AI platforms using Kubernetes and microservices.

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    Cloud Native AI Platform

    Modern AI systems require scalable cloud-native infrastructure.

    Platform Components

    1. Kubernetes Cluster
    2. API Gateway
    3. AI Services Layer
    4. Vector Database
    5. Monitoring Stack
    6. CI/CD Pipelines

    Engineering Goals

    • high availability
    • auto scaling
    • observability
    • secure AI APIs
    • resilient deployments

    Tech Stack

    • Kubernetes
    • Docker
    • Spring Boot
    • OpenAI
    • Kafka
    • Redis
    • Grafana

    This project demonstrates scalable AI engineering architecture for enterprise workloads.

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