Ankur Soni is a Senior Machine Learning Engineer based in Melbourne with over 20 years in software and a decade focused on cloud-native and DevOps engineering. He blends MLOps expertise with deep hands-on experience provisioning and automating Kubernetes across AKS, EKS and GKE, and has led LLMOps deployments on Azure OpenAI and GCP Gemini. Ankur has driven enterprise cloud transformation projects in Australia, implementing HA/DR, cost-optimisation and model-drift monitoring while architecting asynchronous batch inference and scalable model training pipelines. His toolkit spans Terraform, Argo Workflows, Kubeflow, Weights & Biases, Helm, Docker and Golang, plus a long history in the Microsoft stack and ARM/PowerShell automation. A prolific open-source practitioner, he maintains Kubernetes and EKS boilerplate projects that simplify production-ready deployments and serves as a founder of AI Hospital, applying ML to healthcare workflows. He combines pragmatic operational leadership with a developer’s curiosity for building reusable infrastructure that accelerates ML from experiment to production.
10 years of coding experience
10 years of employment as a software developer
Bachelor's Degree Computer Science, Bachelor's Degree Computer Science at Rajiv Gandhi Technical University
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Ankur Soni - Senior Machine Learning Engineer at CUBE