Abhinandan Baheti is a seasoned software engineer with nine years of experience building and operating large-scale, cloud-native platforms, currently driving multi-tenant Kubernetes control plane work at VMware. He blends backend engineering in Go and Python with DevOps and SRE practices—managing 100+ clusters and 1K+ nodes in regulated AWS environments (PCI/HIPAA/FedRAMP) and leading migrations between control plane versions. His background spans automation, test and performance engineering, and observability (Terraform, Helm, Grafana), and he has a track record of shipping tooling that links commits, tickets and analytics across complex microservice landscapes. He also applies ML and automation to support workflows—having built knowledge bots and traceability services—and holds advanced training in AI/ML alongside an IT engineering degree. Practical, audit-conscious, and product-minded, he thrives at the intersection of platform reliability, security compliance, and developer productivity.
9 years of coding experience
11 years of employment as a software developer
Post Graduate Diploma Machine Learning and Artificial Intelligence, Post Graduate Diploma Machine Learning and Artificial Intelligence at International Institute of Information Technology Bangalore
B. Tech Information Technology, B. Tech Information Technology at Vellore Institute of Technology
Master of Science - MS Artificial Intelligence and Machine Learning, Master of Science - MS Artificial Intelligence and Machine Learning at Liverpool John Moores University
Multi-tenancy and policy-based framework for Kubernetes.
Contributions:3 pushes, 1 branch in 1 year 7 months
policydeclarativetenancyk8skubernetes
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