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.

• AI Agent Development: Building multi-agent systems for cloud-native infrastructure automation
• Platform Engineering AI: Creating intelligent assistants that transform natural language into validated Kubernetes policies
• Policy Automation: Developing AI-powered policy management with Kyverno, LLM-driven code generation, and automated remediation
• Developer Tooling: Architecting CLI agents, MCP servers, and Kubernetes controllers for cloud-native workflows
• 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 — enables LLMs 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 mutateExisting MutatingPolicy support in CLI test
• Added CEL expression targetMatchConstraints support 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 (Kubestronaut) | CGOA | PCA | CAPA | Kyverno | OPA | Helm | Argo
AI/ML Frameworks: TensorFlow (Ex-Certified) | PyTorch | LangChain | LangGraph | CrewAI
Agent Development: MCP Protocol | Multi-Agent Systems | RAG Architecture | LLM Orchestration
Infrastructure: Linux Foundation Certified SysAdmin | Terraform | AWS | GCP | Docker
Languages: Go | Python | YAML | CEL

• 🌟 CNCF Kubestronaut (One of the youngest globally as of January 2025)
• 🎓 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 | CGOA | PCA | CAPA

Owner & Lead Developer | Launched at KubeCon NA 2025

Model Context Protocol server enabling LLMs to intelligently generate, validate, and troubleshoot Kyverno policies. Powers the policy-as-code agent in Nirmata's AI Platform Engineering Assistant.

Impact: Transforms natural language infrastructure requirements into production-ready Kubernetes policies in seconds.

Tech Stack: Go | MCP Protocol | Kyverno | CEL

Core Contributor | 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

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