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. ๐
- ๐ฉ Pronouns: She/Her
- ๐ Based in Helsinki, Finland
- ๐ Completed DevOps Engineer education at Lernia Yrkeshรถgskola, Stockholm
- ๐ผ Completed internship/LIA at Visma Enterprise
- ๐ฏ Target role: Junior DevOps / Platform Engineer
- ๐ฑ Continuing to deepen my skills in AWS, Azure, OpenTofu/Terraform, CI/CD, Docker, Kubernetes, GitOps, and DevSecOps
- ๐ค Interested in responsible AI-assisted engineering for troubleshooting, documentation, code review, and learning
- ๐ฌ Reach me at: thai.ha.dang@lerniastudent.se
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.
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.
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.
| 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 |
- 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.
- 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
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! โจ



