Samuel Mensah, ai infrastructure engineer

Samuel Mensah

Senior AI Infrastructure Engineer

Accra, Ghana · Africa/Accra (UTC+0) · 8 years of experience

Samuel focuses on reliable, observable, and cost-efficient compute platforms for AI workloads.

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Why this profile fits

Reliable AI compute

Runs Kubernetes and GPU platforms with workload isolation, SLOs, capacity controls, and recovery procedures.

Infrastructure as code

Makes environments repeatable through reviewed modules, GitOps, policy checks, and controlled change.

Cost and capacity discipline

Connects utilization, latency, availability, and unit economics to practical scaling decisions.

Relevant toolkit

KubernetesTerraformNVIDIA GPUsPrometheusArgo CD

Delivery evidence

Selected work

Hybrid AI Landing Zone

telecommunications

Designed and delivered a AI compute platform focused on hybrid-cloud AI foundations; cut environment provisioning from twelve days to under two hours using governed modules. The release included capacity controls, workload isolation, SLOs, disaster recovery, and unit-economics reporting.

KubernetesTerraform

Infrastructure Module Registry

telecommunications operations

Built the supporting control and measurement layer for the primary system, covering review queues, regression checks, operational visibility, and a documented handoff to the owning team.

KubernetesLinux
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Relevant experience

Career timeline

Senior AI Infrastructure Engineer

2024–Present

Devlyn client assignments · Remote

  • Led hybrid-cloud AI foundations delivery for a telecommunications team and cut environment provisioning from twelve days to under two hours using governed modules.

AI Infrastructure Engineer

2019–2023

telecommunications product company (confidential) · Accra, Ghana

  • Built production systems in telecommunications, with increasing ownership of reliability, testing, and stakeholder delivery.

Skill depth

Show experience in context.

VerbalCommunicationDomainUnderstandingProblemSolvingCodeQualitySystemDesignDeliverySpeed
Competency shapeAssessment across the same six dimensions used for every profile.

Relevant experience by skill

Kubernetes8 years
Terraform7 years
NVIDIA GPUs6 years
Linux5 years
Prometheus8 years
Argo CD7 years
See the complete skill index

Languages

PythonTypeScriptSQLBash

Frameworks

TerraformNVIDIA GPUsLinuxHelmAnsiblePython

Tools

OpenTelemetryKarpenterVaultGitHub ActionsDocker

Platforms

AWS EKSGoogle Kubernetes EngineAzure Kubernetes ServiceNVIDIA DGX

Storage

S3CephNVMePostgreSQL

Paradigms

GPU schedulingInfrastructure as codeSRECapacity engineering

Credentials

Certifications

NVIDIA-Certified Professional: AI Infrastructure

NVIDIA · 2026 · Certified

Google Cloud Professional Cloud DevOps Engineer

Google Cloud · 2023 · Certified

Communication

Languages

English

Fluent

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