Mohamed ARKID logo

Command Palette

Search for a command to run...

Command Palette

Search for a command to run...

Mohamed ARKID logo
Avatar
Resume

Mohamed ARKID

DevOps & Cloud Consultant

Paying too much for AWS? Let's fix that.

I help startups cut cloud spend 30–40% and ship without breaking production. Free 15-minute review — no report, just the fixes.

Overview

Social Links

Hi There!

I help companies stop wasting money on broken infrastructure and slow deployments. Most of my work involves taking messy, manually-managed AWS environments and turning them into automated, self-healing systems that actually work at 3 AM without waking anyone up.

If your team is afraid to deploy, your AWS bill keeps climbing, or your "monitoring" is someone checking Slack for complaints, we should talk.

Stack

Projects(6)

A complete infrastructure-as-code solution deploying a Python Flask application to AWS. Features an automated CI/CD pipeline that builds, tests, and deploys the application with multi-stage Docker builds and strict IAM least-privilege policies.

  • Terraform
  • AWS
  • GitHub Actions
  • Docker
  • Python

A comprehensive 9-service monitoring suite capturing the 'Four Golden Signals' of observability. Includes custom load generators to simulate production traffic, automated alerting thresholds, and incident response runbooks.

  • Prometheus
  • Grafana
  • Loki
  • AlertManager
  • Docker

A production-ready Kubernetes cluster built with K3s and managed entirely through GitOps via ArgoCD. Features automated horizontal pod autoscaling (HPA), automated rollbacks, and declarative infrastructure management.

  • Kubernetes
  • ArgoCD
  • GitOps
  • Helm
  • K3s

GitHub Contributions

Experience

  • Infrastructure Architecture: Architected and managed AWS cloud infrastructure for a high-volume EDI validation platform, ensuring sub-second API latency for thousands of daily payloads.
  • Kubernetes: Built a production-grade Kubernetes cluster from scratch on VMware for internal microservices, eliminating deployment bottlenecks and increasing release velocity by 300%.
  • Zero-Touch Automation: Replaced manual runbooks with automated n8n workflows for CI/CD and monitoring, saving 15+ hours of engineering toil per week.
  • Backend Scaling: Deployed and secured FastAPI backend services on AWS, maintaining strict compliance for sensitive supply chain data.
  • AWS
  • Kubernetes
  • Docker
  • VMware
  • FastAPI
  • n8n
  • CI/CD
  • Cloud Security
  • Monitoring
  • GitLab CI/CD
  • Docker
  • Terraform
  • AWS
  • Kubernetes
  • Prometheus
  • Cloud Infrastructure
  • Automation

AJICOD

  • Java
  • Spring Boot
  • PostgreSQL
  • REST API
  • Authentication
  • Docker

Education

  • Embedded AI
  • Software Engineering
  • Systems Design
  • Java
  • Python
  • PostgreSQL
  • Software Engineering

Featured Posts

View all