About me

Technical Leader with a focus on distributed systems and machine learning. I am passionate about containers, k8s and building better automation for systems of the future.

Currently, I’m working on a new venture. Reach out if you’d like to learn more.

Kubernetes Committer & Chair of SIG Big Data

I made key contributions to Kubernetes Core Controllers (StatefulSet, ReplicaSet, Deployment, DaemonSet), Big Data and Machine Learning on containers. I started and led the community to create the Kubernetes Scheduler project in Apache Spark, was a founding engineer on the Kubeflow Project, and provided architectural leadership to containerize Big Data workloads like Apache Airflow, HDFS and Jupyter.

Apache Spark Committer

I’m a committer on Apache Spark with a focus on enhancements to the core scheduling primitives and the kubernetes cluster manager within Spark.


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 Mountain View, CA

Past Experience

Previously, I worked on the future of databases at Rockset and served as a technical advisor to Doc.ai.

For two years till June 2018, I worked at Google on Google Kubernetes Engine (GKE). I also spent a couple of years prior to that working on infrastructure at Nvidia.

I have a Master’s degree in Computer Science from Texas A&M University and a Bachelor’s Degree from the Indian Institute of Technology (BHU).

Check out my full CV.