Anirudh Ramanathan Email and Phone Number

Best Kubernetes Developer Experience (YC W20)

Committer on Apache Spark with a focus on cluster management and scheduling. https://spark.apache.org/committers.html

Acq. by Sharecare

Worked on Kubernetes controllersLead for the Big Data SIGHelm chart maintainer, bootstrap member of the Helm provisional boardRelease team for 1.4 and 1.11

Led product engineering efforts in a growing team of engineers and helped build and launch the analytics DBaaS. Following that, worked as the first full-time product manager - on new features, user growth and customer success.

* SWE on GKE & Kubernetes* Leading development of open source Big Data tooling & frameworks around Kubernetes & Containers.(now a UG - https://github.com/kubernetes/community/tree/master/ug-big-data)* Worked on primitives for containerized stateful applications in Kubernetes.* Started the Kubernetes scheduler project in Apache Spark. * Founding engineer on the Kubeflow project. (https://github.com/kubeflow/kubeflow)* Working at the intersection of containers and: Spark, Airflow, Tensorflow, Jupyter, etc.

Worked as product manager on ML and containers.* Strategic initiative at the intersection of containers (GKE) and Machine Learning.* Initiated collaboration across Cloud AI and Google Kubernetes Engine teams.

As part of the infrastructure team, I implemented automation and tooling for NVIDIA's compute clusters. I worked on the core scheduling and resource allocation algorithms - demonstrating significant performance and resource utilization improvements.

I worked on the development of a real-time GPS tracking system and an integrated communication system. I started by building the server application in ASP.NET to create an interactive rich web-based UI for tracking GPS devices using the Google Maps & Earth APIs. I went on to build the integrated communication system by forking Peers VOIP client, extending its functionality, and interfacing it with Asterisk PBX server. Subsequently, I developed GPS emulators for Windows and Android to test the system extensively.