Aarthi S is a Cloud Network Engineer with seven years of hands-on experience designing, troubleshooting, and automating Azure networking and voice/video systems, currently building resilient cloud networking solutions at Microsoft in the New York metro area. She has progressed from Unified Communications and VoIP engineering to customer-facing Azure networking roles, accelerating cloud migrations and guiding architecture for services like Azure Front Door, Application Gateway, Private Link, and Azure Firewall. Known for customer advocacy, she combines deep support troubleshooting with proactive product feedback and content creation to smooth onboarding and improve service reliability. Aarthi also contributes to open-source cloud tooling, having worked on the backend HPA scaling logic in the widely used KEDA Kubernetes autoscaler, including race-condition fixes and refactors. She brings a pragmatic blend of systems-level networking knowledge and cloud-native automation, often surfacing subtle operational issues before they impact customers. Educated in electronics and communications, she pairs protocol-level understanding with modern cloud practices to deliver dependable, scalable networking solutions.
7 years of coding experience
4 years of employment as a software developer
Bachelor's degree Electronics and Communications Engineering, Bachelor's degree Electronics and Communications Engineering at Anna University Chennai
KEDA is a Kubernetes-based Event Driven Autoscaling component. It provides event driven scale for any container running in Kubernetes
Role in this project:
Back-end Developer
Contributions:32 commits, 11 PRs, 8 pushes in 3 months
Contributions summary:Aarthi primarily contributed to the backend functionality of the KEDA project, focusing on the implementation and maintenance of the HPA (Horizontal Pod Autoscaler) logic. Their work involved deleting and updating HPAs, and scaling deployments based on scale decisions. The user's commits also included bug fixes and refactoring of existing code, specifically within the `scale_handler.go` and `azure_queue.go` files to address race conditions.
KEDA is a Kubernetes-based Event Driven Autoscaling component. It provides event driven scale for any container running in Kubernetes
Contributions:7 pushes, 14 branches in 1 month
hands-onscaleautoscalingkubernetesevent-driven
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