Kubernetes & platform engineering
Designing paved roads that help teams ship reliably across cloud-native environments.
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 focusAreas of focus
Engineering resilient systems at scale.
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.
Platform engineering
Designing platforms that developers actually want to use
Principles for treating internal platforms as products, with clear interfaces and sensible defaults.
Topic previewAI infrastructure
Operating NVIDIA H100 and A100 workloads on Kubernetes
Practical considerations for GPU scheduling, observability, capacity, reliability, and cost in shared clusters.
Topic previewAI automation
Building MCP servers for practical automation
Patterns for connecting AI systems to tools and data through secure, reliable MCP servers.
Topic previewSpeaking & 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.