Cloud-Native AI Engineer | CNCF Kubestronaut | NVIDIA University Ambassador
Building production AI systems for Kubernetes governance and platform engineering, including core components of Nirmata's AI Platform Engineering Assistant launched at KubeCon North America 2025.
🎤 KubeCon India 2026 Speaker · 📝 CNCF Blog Author · 🎯 13/16 toward Golden Kubestronaut
- Platform Engineering AI: Creating intelligent assistants that transform natural language into validated Kubernetes policies
- MCP Server Development: Building Model Context Protocol servers that connect AI assistants to Kubernetes infrastructure
- Policy Automation: Developing AI-powered policy management with Kyverno, LLM-driven code generation, and automated remediation
- AI Infrastructure: Working with GPU Operator, Dynamic Resource Allocation (DRA), and vLLM on Kubernetes
- Open Source: Contributing to upstream Kyverno, extending CLI testing capabilities for CEL, MutatingPolicy, and JSON payloads
Software Engineer @ Nirmata (Cloud-Native Policy Management Platform)
Building core components of Nirmata's AI Platform Engineering Assistant, an AI copilot for Kubernetes security and governance launched at KubeCon 2025:
- 💿 Owned and built the Kyverno MCP Server: Open-source MCP server in Go that enables AI assistants to generate, validate, and troubleshoot Kyverno policies through Model Context Protocol
- 🤖 Core developer on NCTL AI Agent: Intelligent CLI assistant that transforms natural language into production-ready policy-as-code
- 🔧 Architected multi-agent orchestration for policy generation, validation, and remediation workflows across ValidatingPolicy, MutatingPolicy, GeneratingPolicy, and ImageValidatingPolicy types
- 📊 Built LLM benchmarking framework: Comprehensive test suite evaluating AI policy generation quality across 50+ scenarios including CEL patterns, OPA Gatekeeper conversion, and JSON mode (Terraform/Dockerfile)
- 📐 Developed policy conversion frameworks for migrating OPA Gatekeeper policies to Kyverno at enterprise scale using LLMs
Active contributor to kyverno/kyverno, extending the Kyverno CLI test framework:
- Added
mutateExistingMutatingPolicy support in CLI test - Added CEL expression
targetMatchConstraintssupport in CLI test - Fixed segfault when applying K8s-mode policies to JSON payloads
- Eliminated memcache error spam from fake client discovery polling
Technologies: Go | Kyverno | CEL | MCP Protocol | Kubernetes Controllers
Kubernetes & Cloud Native: CKA | CKAD | CKS | KCNA | KCSA | KCA | CGOA | PCA | CAPA | OTCA | CCA | CNPA | Kyverno | OPA | Helm | Argo
AI/ML Frameworks: TensorFlow (Ex-Certified) | PyTorch | LangChain | LangGraph | CrewAI
MCP & Agent Development: Model Context Protocol | Multi-Agent Systems | RAG Architecture | LLM Orchestration
AI Infrastructure: GPU Operator | Dynamic Resource Allocation (DRA) | vLLM | Kubernetes AI workloads
Infrastructure: Linux Foundation Certified SysAdmin | Terraform | AWS | GCP | Docker
Languages: Go | Python | YAML | CEL
- 🌟 CNCF Kubestronaut (Earned while still in college at Missouri S&T, January 2025). Pursuing Golden Kubestronaut (13/16 complete).
- 🎤 KubeCon India 2026 Speaker: "Run Your Own AI Cluster on a DGX Spark: Kubernetes, GPUs, and DRA" (June 18-19, Mumbai)
- 📝 CNCF Blog Author: Developing an AI Agent for Smart Contextual Q&A (August 2024)
- 🎓 NVIDIA Deep Learning Institute Certified Instructor (Fundamentals of Deep Learning)
- ☁️ Linux Foundation Certified Systems Administrator (LFCS)
- 🤖 TensorFlow Developer Certificate
- 🔒 Kubernetes & Cloud Native: CKA | CKAD | CKS | KCNA | KCSA | KCA | CGOA | PCA | CAPA | OTCA | CCA | CNPA
Kyverno MCP Server (Nirmata AI Platform Engineering Assistant)
Owner & Lead Developer | Part of Nirmata's platform launched at KubeCon NA 2025
Open-source Model Context Protocol server in Go that enables AI assistants like Claude Desktop, Amazon Q, and Cursor to generate, validate, and troubleshoot Kyverno policies across multi-cluster Kubernetes environments. Supports compliance monitoring via PolicyReport CRDs and seamless context switching between clusters.
Impact: Transforms natural language infrastructure requirements into production-ready Kubernetes policies in seconds.
Tech Stack: Go | MCP Protocol | Kyverno | CEL
Core Contributor | Part of Nirmata's platform launched at KubeCon NA 2025
Intelligent CLI agent that brings conversational AI to cloud-native policy development. Enables platform engineers to generate, test, and deploy Kyverno policies through natural language.
Impact: Reduces policy development time from hours to minutes while maintaining security and compliance standards.
Tech Stack: Go | Multi-Agent Systems | Kyverno | Kubernetes
InSightful (InfraCloud Technologies)
Author | Published on the CNCF Blog
A ReAct AI agent for smart contextual Q&A in online tech communities (Slack, Discord, Reddit). Uses a Conversation Retriever (custom RAG with vector store), Stack Overflow search, and web search to reduce redundant questions from newcomers.
Impact: Demonstrated how ReAct agents can improve community knowledge management at scale.
Tech Stack: Python | LangChain | HuggingFace TGI/TEI | ChromaDB | Kubernetes
Author | Nirmata
Comprehensive benchmarking framework evaluating AI-generated Kyverno policy quality across 50+ test scenarios. Covers ValidatingPolicy, MutatingPolicy, GeneratingPolicy, Chainsaw tests, OPA Gatekeeper conversion, and JSON mode for Terraform/Dockerfile resources.
Impact: Provides measurable quality metrics for LLM-driven policy generation with automated schema validation and functional testing.
Tech Stack: Go | Kyverno | CEL | AWS Bedrock