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Assessing your cultural and operational fit
Docker-Run-Lab-Containers-Port-Publishing-Tags-Docker-Hub-Image-Resolution
June 16, 2026 – Present
In this lab, I focused on understanding how Docker containers are run and exposed to the outside world. I learned how Docker port publishing works, how to interpret docker ps output, the difference between host and container ports, how image tags are resolved, how Docker Hub namespaces work.
View ProjectDocker-Images-Lab-Image-Builds-Containers-Ports-Image-Optimization
June 15, 2026 – Present
In this lab, I strengthened my Docker fundamentals by inspecting images, reading Dockerfiles, building images, running containers, mapping ports, understanding CMD vs ENTRYPOINT, and optimizing a large Docker image from 913 MB to 51.9 MB by switching to an Alpine-based image.
View ProjectGitLab-CI-CD-Lab-Self-Hosted-Runner-Docker-Executor-DIND-Disk-Cleanup
June 2, 2026 – Present
In this lab, I built a self-hosted GitLab Runner on AWS EC2 using the Docker executor, configured Docker-in-Docker, ran CI/CD jobs inside containers, built Docker images inside the pipeline, reproduced runner disk growth, simulated a no space left on device failure, and cleaned up Docker storage safely.
View ProjectWS-Linux-Storage-Lab-Root-Disk-Exhaustion-Dedicated-EBS-Backup-Volumes-Persistent-Mounting
May 21, 2026 – Present
In this lab, I simulated a real-world Linux production incident where backup files slowly filled the EC2 root disk, causing operational risk and potential outages.
View ProjectAWS-Backup-Lab-Backup-Governance-Recovery-Restore-Operations
May 12, 2026 – Present
In this lab, I learned how AWS Backup centrally manages recovery operations for AWS resources like EC2 and RDS, how snapshots and recovery points actually work internally, how Multi-AZ architecture impacts RDS deployments, and how to perform full restore operations while understanding the networking, IAM, and lifecycle implications behind them.
View ProjectAWS-PostgreSQL-Lab-Database-Install-Backup-Restore
May 6, 2026 – Present
In this lab, I learned how to install and manage a PostgreSQL database on AWS EC2 instances, create databases and tables, perform logical backups with pg_dump, restore databases onto another server, automate backups using Bash scripts and Cron jobs, and deeply understand how PostgreSQL actually works internally.
View ProjectAWS-Linux-Lab-Server-Lifecycle-Patching-Service-Management
May 5, 2026 – Present
n this lab, I learned how to manage an AWS Linux server end-to-end — from provisioning with Terraform to installing services, patching the OS, managing systemd services, and creating reusable automation scripts.
View ProjectNetworking-Lab-Ports-Processes-Real-Traffic-Flow
May 4, 2026 – Present
In this lab, I explored how ports work at the operating system level — moving from basic concepts to understanding how processes bind to ports, how traffic flows through systems, and how services like NGINX interact with backend applications.
View ProjectFilling-the-Gaps
May 4, 2026 – Present
👋 This repository is focused on strengthening my understanding of core concepts.
View Project-The-Learning-System
May 4, 2026 – Present
This repository is my personal learning system — a structured record of how I grow as an engineer.
View ProjectCultural Fit Analysis
The candidate's extensive list of personal lab projects, particularly those focused on foundational infrastructure, DevOps, and cloud concepts, suggests a strong drive for continuous learning and self-improvement. This aligns well with a culture that values proactive skill development and hands-on experience. The projects cover a diverse range of essential backend and infrastructure topics, indicating a broad interest in the technical stack relevant to a Software Engineer role, especially one with an operational or DevOps bent. The detailed descriptions of 'learning systems' further reinforce a structured and dedicated approach to professional growth.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong inclination towards hands-on learning and problem-solving, particularly in infrastructure and operations. The focus on simulating real-world incidents (e.g., root disk exhaustion) suggests a practical, resilient mindset. The detailed descriptions of learning objectives within each lab project demonstrate good communication of technical understanding and a structured approach to skill development. However, without direct interview data or team project experience, assessing collaboration, stress handling, or direct communication clarity in a team setting is not possible.