AI infrastructure & platform engineering

Building the foundations for what's next.

I'm Ravindra Bhargava, an experienced AI infrastructure and platform engineering leader. I build secure, scalable cloud-native platforms, operate NVIDIA H100 and A100 GPU workloads on Kubernetes, and create MCP servers and automation for modern AI systems.

Explore my areas of focus

Areas of focus

Engineering resilient systems at scale.

Kubernetes & platform engineering

Designing paved roads that help teams ship reliably across cloud-native environments.

DevSecOps & software supply chains

Building security into delivery systems, from source and dependencies to runtime.

AI infrastructure & GPU platforms

Building Kubernetes platforms to schedule, scale, and operate NVIDIA H100 and A100 GPU workloads.

Multi-cloud & infrastructure as code

Applying reusable infrastructure patterns across GCP, AWS, and Azure.

Reliability, observability & cost

Making systems easier to understand, operate, and optimize over their full lifecycle.

Writing

Notes from the field.

Future essays on the systems, practices, and tradeoffs behind AI infrastructure, cloud platforms, and automation.

Cloud observability

Building a Production-Ready Observability Platform on Google Cloud

Lessons from designing a unified telemetry platform for applications running on Cloud Run and Google Kubernetes Engine.

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Platform engineering

Automating a Production-Ready GKE Platform with Terraform

A practical architecture for provisioning Google Kubernetes Engine with Terraform while keeping application delivery, security, and operations maintainable.

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Platform engineering

Designing platforms that developers actually want to use

Principles for treating internal platforms as products, with clear interfaces and sensible defaults.

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Speaking & community

Sharing ideas. Supporting people.

Speaking

CNCF lightning talk

OpenTelemetry and GitOps

Mentoring

AI4ALL Ignite mentor

Supporting the next generation of AI practitioners

Community

Technology and AI awards judge

Reviewing and recognizing thoughtful technical work

About

Technology should make hard things simpler.

I specialize in AI infrastructure, cloud platforms, and Kubernetes, with hands-on experience managing NVIDIA H100 and A100 GPU workloads. My focus is creating technical foundations that help teams move quickly without compromising reliability, security, or trust.

This site is where I share practical lessons about Kubernetes, DevSecOps, multi-cloud architecture, observability, GPU platform operations, MCP server development, and automation at scale.