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.
Contributions:35 commits, 2 PRs, 33 pushes in 4 months
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