I am an Advisory Software Engineer at IBM, specializing in cloud-native platforms, AI infrastructure, and platform engineering. I work on designing and building scalable Kubernetes-based platforms that help organizations deploy, manage, and operationalize modern AI and data workloads.

My work spans Kubernetes, OpenShift, Kubeflow, GitOps, GPU-accelerated AI infrastructure, model serving, and agentic AI systems. I have contributed to reference architectures, platform automation frameworks, and AI enablement initiatives focused on simplifying the adoption of cloud-native and generative AI technologies in enterprise environments.

I am passionate about bridging the gap between infrastructure and AI, helping teams move from proof-of-concept experiments to production-ready platforms. I actively engage with open-source communities and enjoy sharing practical lessons learned from building large-scale AI and cloud-native systems.

I hold a Bachelor of Technology in Computer Engineering from Poornima University and regularly speak on topics including Kubernetes, AI platforms, MLOps, Agentic AI, platform engineering, and cloud-native architecture.