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chill and learn
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chill and learn
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thaiha-hub/README.md

๐Ÿ‘‹ Hi, I'm Thaiha

Welcome to my GitHub! I'm a DevOps Engineering graduate building toward Junior DevOps / Platform Engineer roles.

I completed a DevOps Engineer program at Lernia Yrkeshรถgskola in Stockholm and my internship/LIA at Visma Enterprise, where I gained hands-on exposure to cloud infrastructure, CI/CD, Kubernetes platform work, and DevOps practices.

I use this GitHub profile to document my learning, projects, and practical work in cloud, automation, infrastructure, DevSecOps, and responsible AI-assisted engineering. ๐Ÿš€


๐Ÿง  About Me

  • ๐Ÿ‘ฉ Pronouns: She/Her
  • ๐Ÿ“ Based in Helsinki, Finland
  • ๐ŸŽ“ Completed DevOps Engineer education at Lernia Yrkeshรถgskola, Stockholm
  • ๐Ÿ’ผ Completed internship/LIA at Visma Enterprise
  • ๐ŸŽฏ Target role: Junior DevOps / Platform Engineer
  • ๐ŸŒฑ Continuing to deepen my skills in AWS, Azure, OpenTofu/Terraform, CI/CD, Docker, Kubernetes, GitOps, and DevSecOps
  • ๐Ÿค– Interested in responsible AI-assisted engineering for troubleshooting, documentation, code review, and learning
  • ๐Ÿ“ฌ Reach me at: thai.ha.dang@lerniastudent.se

๐Ÿ’ผ DevOps Engineering Background

During my DevOps Engineering studies, I worked with:

  • cloud technologies and infrastructure concepts
  • CI/CD pipelines and automation
  • containers and Kubernetes fundamentals
  • databases and backend-related systems
  • Infrastructure as Code using tools such as Terraform/OpenTofu and CloudFormation
  • DevOps workflows, agile collaboration, and technical documentation

I am now building a practical portfolio that shows how I apply these skills through real projects and documented learning.


๐Ÿข Internship / LIA โ€” Visma Enterprise

I completed my internship/LIA at Visma Enterprise, where I was introduced to real platform engineering work in a professional environment.

My internship experience included exposure to:

  • cloud infrastructure and platform services
  • CI/CD and Git-based workflows
  • Kubernetes-based environments
  • infrastructure automation and configuration
  • team collaboration through agile routines
  • documentation and technical investigation

This experience helped me understand how DevOps and platform engineering are used in real teams, beyond school assignments.


๐ŸŽ“ Thesis / Final Project

My thesis focused on infrastructure migration and platform automation in a Kubernetes-based cloud environment.

The work explored how infrastructure can be migrated and managed using modern DevOps practices such as:

  • OpenTofu / Terraform-style Infrastructure as Code
  • CI/CD automation with GitHub Actions
  • Kubernetes platform services
  • GitOps-based reconciliation
  • cloud identity and access patterns
  • operational stability during infrastructure changes

This thesis strengthened my interest in platform engineering, especially the connection between infrastructure, automation, security, and developer productivity.


๐Ÿš€ Featured Portfolio Projects

Project Focus
devops-platform-journey My structured DevOps / Platform Engineering roadmap, weekly learning log, and job-readiness preparation
devops-healthcheck-cli Python automation, service health checks, testing, and CI
ai-reviewed-opentofu-aws-platform AWS, OpenTofu/Terraform, IAM, cost management, and security review
ai-enhanced-secure-cicd GitHub Actions, Docker, security scanning, and responsible AI-assisted pipeline review
gitops-ai-platform Kubernetes, Flux GitOps, Kyverno policies, and AI-assisted PR guardrails
ai-native-cloud-platform Final capstone project combining cloud, CI/CD, Kubernetes, GitOps, security, observability, cost controls, and AI guardrails

๐Ÿ”ง Tools & Tech

โ˜๏ธ DevOps & Cloud

Azure Azure DevOps AWS Docker Kubernetes OpenShift

๐Ÿ—๏ธ Infrastructure as Code

Terraform OpenTofu CloudFormation

๐Ÿ–ฅ๏ธ Operating Systems

Linux Ubuntu Windows Red Hat

๐Ÿ—ƒ๏ธ Databases

MongoDB PostgreSQL

๐Ÿ”„ Version Control & CI/CD

Git GitHub GitHub Actions

๐Ÿค– AI-Assisted Engineering

  • Claude / ChatGPT for technical explanations, documentation, and troubleshooting support
  • AI-assisted code and infrastructure review
  • Prompt engineering for DevOps workflows
  • Manual verification of AI suggestions through testing, documentation, and CI/CD checks

AI can suggest. I verify, test, and decide.

๐ŸŽฏ Agile & Collaboration

Jira


๐Ÿ“œ Certifications & Training

  • Microsoft Certified: Azure Fundamentals AZ-900
  • Red Hat official training attendance
  • Completed DevOps Engineer education at Lernia Yrkeshรถgskola, Stockholm
  • Internship/LIA completed at Visma Enterprise

๐Ÿ“Œ Current Focus

I am currently building a public DevOps / Platform Engineering portfolio focused on:

  • AWS and Azure cloud fundamentals
  • OpenTofu/Terraform infrastructure automation
  • secure CI/CD pipelines
  • Docker and Kubernetes
  • GitOps with Flux
  • DevSecOps practices
  • observability and incident response
  • cloud cost awareness
  • responsible AI-assisted engineering

Thanks for visiting โ€” happy coding! โœจ

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