• Added features and maintained OpenFHE, an open-source C++ fully homomorphic encryption (FHE) library.

• Optimized and implemented privacy-preserving machine learning models in C++ using FHE.

Implemented post-quantum cryptographic primitives and tools in C/C++:

• Double Ratchet for secure end-to-end messaging using ECDH, FrodoKEM, and Crystals-Kyber

• Doubly Affine Extractors for random number generation

• Penetration tested internal code deployment tool written in Ruby on Rails backend and React frontend

• Implemented a tool for detecting 51% attacks on the blockchain using Ruby on Rails and alerting engineers through Slack. The tool successfully detected an attack of $1.1M post-internship.

• Implemented a post-quantum Private Information Retrieval scheme in Python using the BFV fully homomorphic encryption scheme.

• Improved throughput of response generation from database by 15x by adding support for SIMD operations.