dhruv kapur

experience

industry & research work

NetApp

June 2026 - August 2026

As a cloud software engineering intern on the Azure NetApp Files team, I built an aggregate relocation proof of concept for upgrading ONTAP HA pairs, reducing failover upgrade times by ~30x (30 min → ~1 min).

I also worked on CIT coverage for the NFS over TLS protocol, and NetApp FabricPool and SnapMirror on Oracle Cloud Infrastructure (OCI).

Azure NetApp Files, ONTAP, NFS over TLS, Oracle Cloud Infrastructure

NetApp

June 2025 - August 2025

As a software engineering intern on the Google Cloud NetApp Volumes team, I worked on the integrating the Google Cloud Console onto the IDE.

I also developed a Model Context Protocol server that allows the developer to use a LLM to execute commands and configurations whilst being efficient and optimized per the cloud infrastructure standards.

TypeScript, Python, HTML, CSS, JavaScript, Google Cloud Platform

University of Michigan

January 2024 - April 2025

Collaborating with postdoctoral researcher, Jeremy Seeman, at the University of Michigan analyzing deidentification algorithms in depth as a continuation to my NeurIPS 2023 report in differential privacy


Paper contributed to NIST Collaborative Research Cycle Explanatory Workshop


An Exploratory Meta-Analysis to Identify Outlying Behavior in the NIST Collaborative Research Cycle Archive

See our work: NIST > Synthetic Data Evaluation



Python, Pandas, Matplotlib, Seaborn

NeurIPS 2023 - Diverse community data for benchmarking data privacy algorithms

2023

Authors: Sen, A., Task, C., Kapur, D., Howarth, G. S., & Bhagat, K.

Conference: Thirty-seventh Conference on Neural Information Processing Systems

Track: Datasets and Benchmarks Track


Poster: neurips.cc > Poster

Link: Overview > Diverse community data for...

Paper: proceedings > neurips.cc/paper_files/paper/2023/...

arxiv: Cryptography and Security > Diverse Community Data for...

Knexus Research Corporation

May 2023 - August 2023

Explored the behavior of data deidentification in the Collaborative Research Cycle NIST Program analyzing over 450 deidentified data samples.

Compiled in a report for NeurIPS 2023 Track Datasets and Benchmarks.

Python, Pandas, Matplotlib, Seaborn