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Mohammed SafickCloud & AI Platform Engineer

Building reliable cloud platforms, automating infrastructure and helping businesses use AI to improve operations and scale.

AWS • GCP • Terraform • Platform Engineering • Observability • Automation • AI

Introduction

Profile.

I work at the intersection of cloud infrastructure, platform engineering, automation and AI. My experience includes enterprise AWS and GCP environments, Infrastructure as Code, observability, cloud operations and automation.I enjoy solving infrastructure problems where reliability, scalability and business efficiency matter — and I bring an AI-aware platform mindset from earlier work in computer vision and data-driven solutions.
Education: Master's degree in Bionics (Artificial Intelligence), Rhine-Waal University of Applied Sciences, Germany.

How I Can Help

Services.

Focused areas where I help companies with cloud, platform and AI-related problems.

01

Cloud & Platform Engineering

Design, improve and modernize AWS and GCP infrastructure with reliability, scalability, security and maintainability in mind.

AWSGCPCloud ArchitecturePlatform EngineeringInfrastructure DesignCloud Migration Support
02

Infrastructure & DevOps Automation

Automate infrastructure provisioning, deployments and repetitive engineering workflows to improve delivery speed and operational consistency.

TerraformInfrastructure as CodePythonCI/CDGitHub ActionsAutomationAnsible
03

Observability & Reliability Engineering

Build monitoring, dashboards and alerting systems that provide engineering teams with clear visibility into infrastructure health, performance and utilization.

GrafanaAWS CloudWatchGoogle Cloud MonitoringAlertingDashboardsIncident visibilityCapacity monitoring
04

AI & Business Automation

Identify repetitive technical or business workflows and use AI, APIs and automation to reduce manual work and improve operational efficiency.

AI AgentsLLM IntegrationOpenAI APIsAmazon BedrockPythonAPIsWorkflow AutomationPrompt Engineering
05

Cloud Cost & Infrastructure Optimization

Analyze cloud infrastructure utilization and architecture to identify opportunities to improve efficiency, resource usage and operating cost while maintaining reliability.

Cloud utilization analysisCapacity planningResource optimizationCost visibilityPerformance monitoringArchitecture review

Available for selected consulting projects, technical advisory and implementation engagements.

Why it matters

Technology That Solves Business Problems.

01

Reduce Cloud Complexity

Design infrastructure that is easier to operate, understand and scale.

02

Improve Reliability

Use monitoring, observability and automation to identify issues earlier and improve operational resilience.

03

Automate Manual Work

Replace repetitive engineering and operational processes with reliable automation.

04

Use AI Practically

Identify where AI can create measurable value instead of implementing AI only because it is fashionable.

 
 

What I work with

Skills.

Cloud
AWSAWS
Google CloudGoogle Cloud
Infrastructure & Platform Engineering
TerraformTerraform
DockerDocker
KubernetesKubernetes
AWS LambdaAWS Lambda
AWS Step FunctionsAWS Step Functions
AWS IAMAWS IAM
NetworkingMicroservicesREST APIsServerless Architecture
Automation & DevOps
PythonPython
BashBash
GitGit
GitHub ActionsGitHub Actions
AnsibleAnsible
CI/CDInfrastructure as Code (IaC)SQLDevSecOps
Observability
GrafanaGrafana
AWS CloudWatchAWS CloudWatch
Google Cloud MonitoringGoogle Cloud Monitoring
AlertingMonitoring
AI & Automation
OpenAI APIOpenAI API
LangChainLangChain
Amazon BedrockAmazon Q DeveloperPrompt EngineeringAI AgentsAPI Integrations
Data & Supporting Technologies
PostgreSQLPostgreSQL
MongoDBMongoDB
BigQueryBigQuery

Selected work

Selected Engineering Work.

Selected engineering work on cloud observability, automation, and secure operations — framed as challenge, solution, and impact so the contribution is clear at a glance.

project_image

Telco Observability Dashboards (Grafana + CloudWatch)

Enterprise project — details generalized for confidentiality.

Challenge

Engineering teams needed better visibility into cloud infrastructure utilization, network performance and operational health for telco workloads.

Solution

Designed monitoring and observability dashboards using AWS CloudWatch and Grafana with infrastructure metrics, alerts and percentile-based analysis co...

Impact

Improved infrastructure visibility, capacity analysis and proactive detection of operational issues.

AWS • CloudWatch • Grafana • Observability

project_image

CloudWatch Alarm Automation (Python)

Enterprise project — details generalized for confidentiality.

Challenge

Creating and maintaining infrastructure alarms manually was repetitive and difficult to scale, especially under corporate network constraints.

Solution

Developed automation using Python and AWS APIs to standardize CloudWatch alarm creation and configuration in a proxy-/firewall-aware workflow.

Impact

Reduced repetitive configuration work and improved consistency of monitoring across infrastructure.

Python • boto3 • AWS • CloudWatch • Automation

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Secure Log Collection via Bastion (SCP/SSH)

Enterprise project — details generalized for confidentiality.

Challenge

Troubleshooting required collecting logs from private infrastructure without exposing workloads directly to the internet.

Solution

Used bastion-host-based secure access and controlled file-transfer workflows to retrieve and package infrastructure logs from private EC2 instances.

Impact

Enabled secure troubleshooting while maintaining network isolation.

AWS • EC2 • Linux • SSH • Bastion Hosts • Networking

Get in touch

Have a Cloud, Platform or AI Challenge?

Whether you're improving cloud infrastructure, building better observability, automating operations or exploring practical AI adoption, I'm open to discussing the problem and identifying the right technical approach.

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