June 2019 – September 2019
Seattle, Washington

Software Engineering Intern

Google LLC

Built privacy-aware, on-device machine learning models to improve the population’s health and wellness while preserving the privacy and anonymity of each user.
June 2018 – September 2018
San Francisco, California

Software Integrity Intern

Synopsys Inc.

  • Curated production data for Machine Learning application.
  • Applied Deep Learning and traditional ML techniques on software integrity au- tomation using production data.
  • Prepared project codebase and transferred knowledge for productization.
  • Project received the Synopsys ACE South Asia Award, 2018.

Recent Publications

. Identifying Coreferent Genotypes in One-Way Cryptographic Hash Using Haplotype Information. Annual UC Systemwide Bioengineering Symposium, 2018.


. Autocompletion with Local Differential Privacy. IEEE Security and Privacy Symposium (S&P 2018) (Poster), 2018.


. Clustering System Data using Aggregate Measures. SysML Conference 2018, 2018.


. A Corpus of Gesture-Annotated Dialogues for Monologue-to-Dialogue Generation from Personal Narratives. Language Resources and Evaluation Conference 2016, 2016.