Raj, ai infrastructure engineer

Raj

AI Infrastructure Engineer

Pune, India · Asia/Kolkata (UTC+5:30) · 6 years of experience

Raj 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

Resilient Inference Platform

financial software

Designed and delivered a AI compute platform focused on inference platform reliability; sustained 99.95% inference availability through zonal failures and model rollouts. The release included capacity controls, workload isolation, SLOs, disaster recovery, and unit-economics reporting.

KubernetesTerraform

AI Service SLO Console

financial software 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

AI Infrastructure Engineer

2024–Present

Devlyn client assignments · Remote

  • Led inference platform reliability delivery for a financial software team and sustained 99.95% inference availability through zonal failures and model rollouts.

JavaScript | React Developer

Aug 2023–Present

ViitorCloud Technologies · Pune, India

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

JavaScript | React Developer

Feb 2023–Jul 2023

ViitorCloud Technologies · Pune, India

  • Built production systems in financial software, 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

Kubernetes6 years
Terraform5 years
NVIDIA GPUs4 years
Linux3 years
Prometheus6 years
Argo CD5 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

Certified Kubernetes Administrator

Cloud Native Computing Foundation · 2026 · Certified

NVIDIA-Certified Professional: AI Infrastructure

NVIDIA · 2026 · Certified

Communication

Languages

English

Fluent

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