π DevOps Engineer passionate about automation, cloud-native tech, and now expanding into the world of AI-driven workflows.
- π§ I work with Kubernetes, Docker, Helm, and microservices in modern cloud environments
- βοΈ Skilled in cloud platforms (AWS, GCP, Azure) and building robust CI/CD pipelines
- π§ Exploring the intersection of DevOps + AI, with hands-on experience in:
- π€ RAG (Retrieval-Augmented Generation)
- π n8n for no-code/low-code automation
- βοΈ Building intelligent workflow orchestration pipelines
I am:
- πͺ Hard-working, responsible, and self-motivated
- π― Goal-driven, committed to quality, and a fast learner
- π§© A strong problem-solver with logical thinking
- π€ A team-builder who inspires and drives success
- βΈοΈ Kubernetes, Helm, Docker
- βοΈ AWS / GCP / Azure
- π οΈ CI/CD: GitHub Actions, Jenkins
- π Vulnerability Scanning: JFrog Xray, Trivy, Grype
- π Observability: Prometheus, Grafana, Loki, ELK
- π€ AI/Automation: RAG pipelines, n8n, LangChain, OpenAI APIs
- Integrating security into pipelines with:
- JFrog Xray for artifact scanning
- Trivy and Grype for container/image security
- Automating policy enforcement and vulnerability remediation
I'm actively exploring and building:
- RAG architectures to augment AI models with external knowledge
- n8n workflows to connect APIs, trigger events, and automate ops
- Custom automations combining DevOps and LLMs for smarter pipelines
- π§ thenguyen.ai.automation@gmail.com
- π LinkedIn
β Thanks for visiting my profile! Letβs automate, secure, and scale with cloud & AI.
