apiVersion: v1
kind: Human
metadata:
  name: Vismaya Maliye
  role: AI Software Engineer | Platform Engineer | DevOps Engineer
  location: Dallas, TX
  certified: AWS Solutions Architect - Associate
spec:
  purpose: >
    Build production-grade AI systems on cloud-native infrastructure
    and make on-call less terrible for everyone.
  focus:
    - LLM Systems & RAG Pipelines
    - Kubernetes & Cloud-Native Infrastructure
    - MLOps & AI Observability
    - CI/CD Automation & GitOps
  experience:
    - 4+ years in Software, DevOps, and Platform Engineering
    - AI/Platform Engineer at Toyota Connected (current)
    - Built multi-agent LangChain systems in production
    - Shipped 20+ Java 21 microservices on EKS with zero-downtime deploys
    - Designed RAG pipelines on Pinecone/ChromaDB with OpenAI & Claude APIs
    - Automated infra across AWS with Terraform, Helm, and ArgoCD
  stack:
    ai_llm:
      - LangChain
      - RAG
      - OpenAI API
      - Claude API
      - Hugging Face
      - MLflow
      - SageMaker
    cloud:
      - AWS (EKS, EC2, VPC, S3, Autoscaling, Lambda, RDS, IAM, CloudWatch)
      - Azure (ARM, Azure DevOps, Monitor, VNets, VMs, LBs, IAM, 
      - GCP
    infra_iac:
      - Terraform
      - Kubernetes
      - GitLab/GitHub workflow
      - Helm
      - ArgoCD
      - Docker
      - Ansible
    languages:
      - Python
      - Java
      - TypeScript
      - Bash
    observability:
      - Prometheus
      - Grafana
      - Datadog
      - Fluent Bit
      - OpenSearch
  traits:
    strengths:
      - Kubernetes
      - Python
      - AWS
      - LLM Systems
      - Terraform
    mindset:
      - AI-first, infra-aware
      - Automate the toil
      - Build for production, not demos
  favorites:
    technologies: Kubernetes, Terraform
    cloud_provider: AWS
    llm_framework: LangChain
    open_source_project: Podautopsy
  links:
    linkedin: https://www.linkedin.com/in/vismayamaliye/
    github: https://github.com/VismayaMaliye
  status:
    state: Open to new opportunities
    building: LLM-powered DevOps tooling