Parth Yadav

SDE - III at Coredge.io

Oregon, India
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Summary

👤
Senior
🎓
Top School
Parth Yadav is an SDE-II and Certified Kubernetes Administrator with nine years of engineering experience focused on building and scaling cloud-native platforms. He designs and implements Kubernetes controllers, CSI/CNI integrations, and hosted control-plane solutions—bringing Cluster-API, Kamaji, and BYOH together to deliver managed Kubernetes services. At Coredge.io he has shipped custom Go controllers, GPU-backed WebRTC desktop environments, and storage drivers while leveraging Prometheus, Grafana, gRPC, and MongoDB for observability and real-time state. His background includes automating OpenStack-Helm deployments and tuning high-performance workloads with Multus, SR-IOV, hugepages, CPU pinning, and NUMA. An active open-source contributor and former LF Networking project lead, he blends hands-on systems programming (Go, C) with infrastructure automation (Ansible, Helm, Crossplane). Based in New Delhi, he brings a pragmatic cloud-native mindset and a track record of turning complex infrastructure challenges into production-ready platforms.
code9 years of coding experience
job4 years of employment as a software developer
bookUniversity of Delhi
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Github Skills (43)

kubernetes10
docker10
container-image10
go10
openstack10
kubernetes-monitoring9
controller9
oci-image9
mesos9
gcp9
podman9
kubernetes-cluster9
multi-cluster9
aws9
helm9

Programming languages (8)

SmartyJavaC++CGoPHPHTMLPython

Github contributions (5)

github-logo-circle
Kupenstack/osh-charts

Aug 2021 - Dec 2022

Helm charts generated from openstack-helm project
Contributions:29 commits, 27 pushes, 1 branch in 1 year 4 months
helmopenstackcharthelm-chartskubernetes
parthyadav3105/kupenstack

Aug 2021 - Jun 2026

Cloud Native Openstack
Contributions:31 pushes, 30 branches in 4 years 11 months
tencentkuberneteshybrid-cloudopenstackcloudnative
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