Chitrang, ai infrastructure engineer

Chitrang

Senior AI Infrastructure Engineer

Berlin, Germany · Europe/Berlin (UTC+2) · 8 years of experience

Chitrang 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

Supplier Exception Agent

manufacturing

Designed and delivered a AI compute platform focused on procurement and supplier agents; reduced purchase-order exception backlog by 58% with SAP-integrated approval controls. The release included capacity controls, workload isolation, SLOs, disaster recovery, and unit-economics reporting.

KubernetesTerraform

Purchase Order Approval Orchestrator

manufacturing 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 procurement and supplier agents delivery for a manufacturing team and reduced purchase-order exception backlog by 58% with SAP-integrated approval controls.

Senior Software Engineer

Jul 2025–Present

ViitorCloud Technologies · Berlin, Germany

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

Software Engineer

Apr 2023–Present

ViitorCloud Technologies · Berlin, Germany

  • Built production systems in manufacturing, 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 Operations

NVIDIA · 2026 · Certified

AWS Certified DevOps Engineer – Professional

Amazon Web Services · 2026 · Certified

Communication

Languages

English

Fluent

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