Tech lead for a team building enterprise-grade data protection for Kubernetes across on-premises, cloud, and hybrid environments. The platform supports a broad range of distributions, including OpenShift, AKS, EKS, GKE, Mirantis, and upstream Kubernetes, as well as data protection for KubeVirt and persistent volumes backed by CSI drivers.

Earlier, I spent ~2 years on the Rubrik Mosaic team, integrating the Datos IO NoSQL data protection platform into the Rubrik Security Cloud, a natural continuation of my work at Datos IO.

Joined Datos IO as one of the earliest engineers, contributing to the data protection platform from pre-1.0 through enterprise readiness. Datos IO built the first enterprise-grade data protection solution purpose-built for NoSQL databases, and was acquired by Rubrik in 2018.

Tech Lead, Apache Cassandra Data Protection

Owned end-to-end design and delivery of two foundational scalability projects:

Incremental Backup Engine - Built an incremental backup system using SSTable ancestry and metadata to track changes and eliminate redundant transfers of compacted SSTables, significantly reducing backup transfer time, storage size, and cost.

Streaming Restore - Architected a streaming restore pipeline that parallelized data transfer across nodes and within individual node recovery, dramatically reducing RTOs on large clusters.

Also contributed to the core distributed data infrastructure, building systems capable of processing data at enterprise scale across heterogeneous NoSQL environments.

Spring 2015: Teaching Assistant for Cloud Computing Concepts Coursera MOOC

Fall 2014: Teaching Assistant for CS425 – Distributed Systems during Fall 2014 semester.

Spring 2014: Teaching Assistant for CS241 – Systems Programming during Spring 2014 semester.

I worked in the Computer Science department as a Graduate Research Assistant. My research project was Optimization by Run-Time Specialization for Sparse Matrix-Vector Multiplication’ under the guidance of Prof. Maria Garzaran.

Research projects in cloud computing systems and large scale data stores under the guidance of Prof. Indranil Gupta.