Call for submissions: Platform Engineering meet-ups
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Call for submissions: Platform Engineering meet-ups

Share your journey of building platforms that power engineering teams

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Navaneetha Sunny

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Submitted Nov 2, 2026

Session type: Talk (30 mins) Submission made for: Bangalore meet-ups
  1. Describe your session in 2 paragraphs
    SHIVA (Smart Hub for Intelligent Virtual Agents) is an enterprise-grade Agentic AI and AIOps platform designed to transform IT infrastructure operations through intelligent automation, autonomous decision-making, and AI-driven orchestration. Built using Azure OpenAI, Large Language Models (LLMs), LangGraph-based agent orchestration, and Model Context Protocol (MCP)-enabled tool integrations, SHIVA enables intelligent workflows across the infrastructure lifecycle, including virtual machine provisioning, configuration, patching, resource scaling, monitoring, and decommissioning. The platform incorporates enterprise-grade guardrails, security controls, human-in-the-loop approvals, observability, and auditability to ensure responsible, secure, and compliant AI adoption.

This session will explore how Agentic AI can move IT infrastructure management beyond traditional automation towards intelligent, proactive, and outcome-driven operations. It will showcase practical enterprise use cases, architectural approaches, and measurable business outcomes, including improved operational turnaround times, reduced manual effort, enhanced resource utilization, and cost optimization. The session will also discuss the importance of governance, scalability, and AI FinOps in building sustainable, production-ready Agentic AI solutions for enterprise infrastructure environments.
2. Mention 1–2 takeaways from your session

  • Transforming Infrastructure Operations with Agentic AI: Understand how LLM-powered agents, orchestration frameworks, and tool integrations can automate complex infrastructure workflows, improve operational efficiency, and accelerate service delivery.
  • Building Enterprise-Ready and Cost-Efficient AI Platforms: Learn how to implement security guardrails, human oversight, observability, governance, and AI FinOps practices while delivering measurable business value through intelligent automation.
  1. Which audiences is your session going to be beneficial for?
    This session will be particularly beneficial for CIOs, CTOs, IT infrastructure leaders, cloud architects, platform engineering leaders, SRE and DevOps professionals, AIOps practitioners, enterprise architects, AI/ML engineers, and technology transformation leaders. It will also be relevant to professionals responsible for cloud operations, IT service management, infrastructure automation, enterprise AI adoption, operational excellence, and technology cost optimization who are exploring practical ways to implement Agentic AI solutions at enterprise scale.

My Profile

I am Navaneetha Sunny a strategic Cloud & AI Platform Engineering Leader with 19 years of experience driving digital transformation across financial services, healthcare, and travel. Expertise in multi-cloud strategy (AWS, Azure, GCP), AI infrastructure, Agentic AI, AIOps, global team leadership, and FinOps. Proven ability to deliver scalable, secure, and cost-efficient cloud and AI platforms aligned with business goals.

• Led large-scale public and private cloud migrations and enterprise cloud data centre modernisation.
• Defined enterprise AI platform strategy using Azure OpenAI, LLMs, LangGraph, MCP, and AI-driven decision support.
• Established multi-cloud governance across AWS, Azure, and GCP, covering IAM, SCPs, security, and compliance.
• Drove Infrastructure as Code, CI/CD, and DevSecOps adoption using Terraform and Terragrunt.
• Delivered FinOps initiatives, cloud cost optimisation, and showback/chargeback models to improve financial transparency and accountability.
• Built high-performing global cloud engineering teams across India, the UK, and Europe;
• Developed an NLP and vector-based AI/ML semantic search engine for enterprise knowledge discovery.
• Led observability, enterprise storage, backup, and container,VMWare , Openstack ,public cloud,private cloud,automation and platform engineering teams.

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