Paweł Woźniak, ai infrastructure engineer

Paweł Woźniak

Senior AI Infrastructure Engineer

Poznań, Poland · Europe/Warsaw (UTC+2) · 10 years of experience

Paweł 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

Private Clinical AI Platform

regulated healthcare

Designed and delivered a AI compute platform focused on private AI infrastructure; delivered an isolated model-serving environment with audited access and tested recovery objectives. The release included capacity controls, workload isolation, SLOs, disaster recovery, and unit-economics reporting.

KubernetesTerraform

Recovery and Access Test Suite

regulated healthcare 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

2023–Present

Devlyn client assignments · Remote

  • Led private AI infrastructure delivery for a regulated healthcare team and delivered an isolated model-serving environment with audited access and tested recovery objectives.

AI Infrastructure Engineer

2016–2022

regulated healthcare product company (confidential) · Poznań, Poland

  • Built production systems in regulated healthcare, 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

Kubernetes10 years
Terraform9 years
NVIDIA GPUs8 years
Linux7 years
Prometheus10 years
Argo CD9 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

AWS Certified DevOps Engineer – Professional

Amazon Web Services · 2025 · Certified

Certified Kubernetes Security Specialist

Cloud Native Computing Foundation · 2024 · Certified

Communication

Languages

English

Fluent

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