Shrinidhi Kulkarni is a DevOps and Cloud Infrastructure Engineer with 9 years of experience, currently building resilient CI/CD and progressive delivery platforms for WatsonX.ai at IBM. He architects end-to-end pipelines using Tekton, ArgoCD, Argo Workflows and Argo Rollouts, and provisions multi-cloud Kubernetes clusters via Terraform and Ansible across AWS, GCP and IBM Cloud. His background includes large-scale data center migrations, OpenShift and Kubespray deployments, and practical automation that reduced downtime and accelerated onboarding for diverse teams. Known for a strong automation-first ethos—summed up on GitHub as “Love automation”—he also implemented novel operational tooling such as a power-usage tracking pipeline and automated disk-replacement workflows. Based in Bengaluru with a BEng in Computer Science, he blends systems-level rigor with pragmatic DevOps practices to move complex workloads safely into production.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering (BEng) Computer Science, Bachelor of Engineering (BEng) Computer Science at Pesit South Campus, Bangalore
Contributions:16 commits, 5 PRs, 14 pushes in 1 year
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