Engineering Practice

Engineering Learning Lab

A practical roadmap through Linux, containers, CI/CD, and backend-oriented infrastructure work.

This page documents what I am practicing, what I am refining, and what I plan to study next. The structure separates completed work, current experiments, and planned learning so the evidence stays clear.

Engineering Learning Lab

Building engineering depth through hands-on projects, experiments, and documented checkpoints.

Student-ledActively learningContinuously evolving
Current Focus

Kubernetes

Foundations + Hands-on Practice

Container orchestration and cluster management

Hands-on Practice

Kubernetes FundamentalsCluster/Node/Pod/ContainerkubectlKindPodsDeployments+11 more

Next

ConfigMapsSecretsHelm

Foundations & Practice

Foundations & Practice

Linux, Git, and version control fundamentals

Linux FundamentalsGit & GitHub WorkflowPNPM

Containerization

Docker images, containers, and multi-service applications

Docker FundamentalsDocker ImagesDocker Containers+5

CI/CD

Continuous integration and deployment pipelines

GitHub ActionsAutomated TestingContinuous Integration+3

DevSecOps

Security practices integrated into development workflows

Environment Variables & SecretsDependency ScanningSAST+6

Infrastructure

Web servers, reverse proxy, and SSL/TLS

NginxReverse ProxyHTTPS+1

Databases & Caching

Data persistence and caching strategies

PostgreSQL in DockerSQL CRUDDocker Volumes+4

Monitoring & Observability

Application logging, metrics, and visualization

Application LoggingHealth ChecksDocker Health Checks+10

Foundations & Practice

completed

Containerization

completed

CI/CD

completed

DevSecOps

completed

Infrastructure

completed

Databases & Caching

completed

Monitoring & Observability

completed

Kubernetes

practicing

Cloud Engineering

planned

Infrastructure as Code

planned

Computer Science Fundamentals

planned

AI Engineering

planned

System Design

planned

On the Roadmap

Cloud Engineering

Cloud services, IAM, and deployment fundamentals

Infrastructure as Code

Terraform and GitOps practices

Computer Science Fundamentals

Data structures, algorithms, and systems

AI Engineering

LLM APIs, prompt engineering, and AI workflows

System Design

Scalable system architecture and design patterns

Checkpoint Complete
Practicing
Planned

Let's connect

Open to teams and technical roles where I can contribute, learn from feedback, and keep growing.