industry & research work
NetApp
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
Collaborating with postdoctoral researcher, Jeremy Seeman, at 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
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
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