I’m a DevOps & Cloud Enthusiast with over 10 years of experience in IT Service Operations and Software Product Lifecycle Management (PLM).
My professional journey began in enterprise IT support and service delivery, where I developed a strong foundation in system reliability, process optimization, and cross-team collaboration.
Currently, I’m focusing on Cloud Engineering and DevOps automation, leveraging tools like AWS, Jenkins, Docker, and Terraform to streamline infrastructure and accelerate deployment cycles.
🎓 Education:
Bachelor’s in Business Administration (Computer Applications) – HAMK University of Applied Sciences, Finland (Graduation: May 2025)
🌍 Based in Finland 🇫🇮 | Passionate about continuous learning, scalable systems, and AI-integrated cloud solutions.
- Cloud Computing: AWS (EC2, S3, IAM, CloudWatch, Lambda, RDS)
- DevOps & CI/CD: Jenkins, GitLab CI/CD, GitHub Actions
- Infrastructure as Code (IaC): Terraform, Ansible
- Containerization: Docker, Docker Compose, Kubernetes (basics)
- Monitoring & Logging: Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), Loki
- Version Control: Git, GitHub, GitLab
- Scripting & Programming: Python, Bash, PowerShell
- OS & Server Management: Linux (Ubuntu, CentOS), Windows Server
- Automation & Integration: Webhooks, APIs, REST, JSON
- AI & Data Tools: Streamlit, Gradio, Hugging Face Transformers, SentenceTransformers, FAISS
- Project & Collaboration Tools: Jira, Confluence, Microsoft Teams, SharePoint, Slack
- 🧩 Building CI/CD + Monitoring Demo Projects combining Jenkins, Docker, Prometheus, and Grafana for DevOps learning.
- ☁️ Preparing for AWS Certified Cloud Practitioner (CLF-C02) certification.
- 🤖 Developing AI-powered Fashion Assistant using Python + LLaMA Vision and FAISS vector search for sustainable fashion recommendations.
- 💬 Exploring automation workflows between Teams, GitHub, and AWS for team collaboration.
An AI-powered fashion chatbot that analyzes clothing images and suggests sustainable products using LLaMA 3 Vision, SentenceTransformers, and FAISS.
Tech Stack: Python, Streamlit, LLaMA 3 Vision, FAISS, Transformers
Highlights: Image analysis, embedding search, real-time suggestion, adaptive learning.
A hands-on DevOps pipeline demonstration featuring continuous integration, containerized deployment, and infrastructure monitoring.
Tech Stack: Jenkins, Docker, Prometheus, Grafana, GitHub Actions
Highlights: End-to-end CI/CD workflow, alerting dashboard, API implementation and log monitoring setup.
A timeline of my professional achievements and contributions in IT Operations and Service Management.
A step-by-step guide to building a professional GitHub portfolio — perfect for students, engineers, and job seekers.
- 🧾 AWS Certified Cloud Practitioner (in progress)
- 🎓 HAMK Bachelor of Business Administration (Computer Applications)
- 🥇 Professional Achievements – Workplace highlights & success stories
- 🎖️ Open Badge Passport – Verified academic & professional learning milestones
“Continuous learning, collaboration, and automation drive innovation — that’s the core of DevOps.”
— Andy Tran Huynh