Experience

Founder (2026 - Present)
Centaur Privacy
- Building an automated privacy engineering platform for software teams shipping at AI-accelerated speed.
- Developing Code Checkers for concrete privacy issues in code, and privacy review agents that help builders and coding agents understand privacy implications during planning and implement them during coding.
Senior Privacy Engineer (May 2024 - Apr 2026)
Amazon
- Translated regulatory requirements into cross-organizational engineering obligations to reduce sensitive data processing and mitigate major regulatory risk.
- Defined Privacy-by-Design standards and data governance processes for Amazon's Last Mile organization.
- Built GenAI-powered compliance infrastructure for privacy, AI safety, data lineage, and governance observability.
Privacy Engineering Manager (Mar 2022 - May 2024)
Snap Inc.
- Led a team of 8-10 privacy engineers responsible for Snap's product portfolio, including Snapchat, Bitmoji, and Labs.
- Redesigned Snap's privacy review workflow, improving throughput by 400% and enabling faster product iteration while maintaining review quality.
Privacy Engineer (Mar 2018 - Feb 2022)
Snap Inc.
- Defined Snap's technical response to Apple's ATT Framework across ads attribution, targeting, and reporting.
- Designed and implemented a privacy-preserving friend suggestion algorithm that increased engagement metrics while maintaining privacy rigor.

Education

Carnegie Mellon University, Pittsburgh, USA (2012 - 2018)
PhD, Electrical and Computer Engineering
Thesis: Fairness and Privacy Violations in Black-Box Personalization Systems: Detection and Defenses
Advisor: Anupam Datta
Indian Institute of Technology, Kharagpur, India (2008 - 2012)
B.Tech. (Hons), Computer Science and Engineering
Thesis: Towards a Faster Fully Homomorphic Encryption Scheme
Advisor: Debdeep Mukhopadhyay

Technicolor, Los Altos (Summer 2015)
Mentors: Nadia Fawaz and Marc Joye
Developed state-of-the-art techniques for private data aggregation using cryptographic and information-theoretic techniques.
Microsoft Research, Bangalore (Summer 2014)
Mentor: Saikat Guha
Identified data-flows in big data applications from logs without access to source scripts; implemented using C# and Scope on the Cosmos platform.
Max Planck Institute for Software Systems, Saarbrücken (Summer 2012)
Mentors: Michael Backes and Aniket Kate
Explored algorithms for Oblivious RAM (ORAM) to improve complexity and prevent access pattern leakage during remote data access.
Max Planck Institute for Software Systems, Saarbrücken (Summer 2011)
Mentors: Michael Backes and Aniket Kate
Devised a new Asynchronous Verifiable Secret Sharing (AVSS) protocol with O(kn²) communication complexity, an order of magnitude improvement over existing results.